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Radio Engineer. \n Major UK Provider of Radio Systems. \n North East, UK. \n Salary £35K Basic + Car/Car Allowance + Benefits. \n The Company \n Being a leading independent communications suppliers, specialising in the design, supply, installation, commissioning and maintenance of wireless voice and data networks. Our client has a great dedicated radio engineering team in the UK. Each of their staff member is trained... \n \n ZIPC1_UKTJ

Site Reliability Engineer Reports to: Labs Team Lead Looper Insights Remote-first, with regular visits to our Byfleet and Hounslow data centres The company Looper Insights builds analytics products that help the world’s leading media and entertainment companies understand how their content is performing across digital platforms (Disney, Amazon Prime, & Ofcom, to name a few). We provide visibility into where content appears, how it’s placed, and how it performs - enabling smarter commercial decisions, operational efficiency, and better outcomes for our clients. We’re building systems that operate at scale across a fast-changing digital landscape, and quality is a critical part of that. We’re at an exciting time in our journey, scaling the business with ambitious growth goals to establish our metric MPV as a currency in the market. With a supportive, flexible culture and a talented global team, we collaborate closely to produce a valuable service for an industry about which we are all passionate. The role We’re looking for a Site Reliability Engineer to keep the global LooperBox fleet running, the physical backbone behind every piece of data Looper Insights produces. LooperBoxes sit in front of every connected TV device our clients care about: Samsung and LG smart TVs, PlayStation and Xbox, Fire TV, Apple TV and Roku, and the major set-top boxes. Every box you build, ship, install and keep healthy is a direct line to the measurement data that streaming platforms and studios rely on to understand how their content really performs on screen. This is a hands-on role that blends hardware, networking and automation. You’ll build and ship LooperBoxes around the world, install and troubleshoot them, including on-site in our data centres, manage a global VPN estate spanning 28+ countries, and build the monitoring and automation that lets a fast-growing fleet (6-10 new devices a month) scale reliably rather than heroically. Alongside the day-to-day, you’ll get genuine R&D time: researching smarter ways to control devices, prototyping new scraping and navigation methods, and finding cost efficiencies across the fleet. This role is remote-first. You’ll need to be able to travel to our data centres in Byfleet and Hounslow on a regular basis for hands-on installation and maintenance work, the rest of your time is yours to work remotely. What you’ll do • Build, ship and install new LooperBoxes connected to devices around the world, including hands-on installation work in our Byfleet and Hounslow data centres, • Support and maintain the existing fleet, keeping devices healthy and online as it scales, • Run remote installation calls with customers to install and troubleshoot LooperBoxes, • Install, manage and monitor VPN connections across 28+ countries, • Build and configure physical networking equipment, including rack and cable management, • Implement and improve monitoring systems across every stage of deployment, • Develop automation routines that reduce support load and get faster results to internal teams, • Research and prototype new ways to control devices more effectively and reliably, • Explore methods to retrieve store-front information from remote devices and stream video to LooperBoxes, • Build proofs of concept for navigation and scraping methods that improve scan speed and quality, • Investigate and prototype cost-saving measures across the fleet What we’re looking for • Proficient in at least one development or scripting language, • Strong network troubleshooting skills, • Comfortable working in the Unix CLI, • Experience troubleshooting physical device faults, • Solid system administration experience, • Experience with DevOps practices and automation, • Able to travel regularly to our Byfleet and Hounslow data centres for on-site work, with remote working for the rest of your time Even better if • Rack and cable management experience, • Network design experience, • Maker skills - you like building and fixing things with your hands, • Video processing experience (gstreamer), • Exposure to AI and ML, • A degree in computing What you’ll get • 27 days holiday, • Annual paid day off for charity work, • Enhanced parental leave, • L&D support, including AI training & access to tools, • Flexible working environment - outcome over hours worked, • Payment towards health insurance, • Access to UK working locations (via the Reef app)

Who We Are At Firstup, our mission is to improve the employee experience at every moment that matters, large and small. As the communication pipeline for the world's workforce, we now serve 40 of the Fortune 100 companies, reaching and connecting more than 17 million employees daily. Our employees are experts in the employee experience, workforce communications and technology. Joining Firstup means joining a movement to make work better for every worker. As the world’s first intelligent communication platform, Firstup meaningfully engages employees at every moment from hire to retire, and delivers engagement insights to help companies support, promote and retain their talent. Our movement has taken root and is evident in our world-class customer base. Now we need your help. Ready to make a difference in the world? Job Summary The Sr. Software Engineer will join the team responsible for Firstup's public APIs, Agentic tools, third-party integrations with enterprise systems such as HRIS platforms, and shared platform services. You will deliver innovative, scalable solutions while constantly improving our approach to architecture, scale, availability, and fault-tolerance. You are an active user of Generative AI tools and coding agents, applying them daily to accelerate delivery and improve code quality. Contribute to the design, development, and maintenance of public-facing APIs used by enterprise customers. Build and maintain integrations with external enterprise systems, including HRIS platforms such as Workday, SAP SuccessFactors, and Dayforce. Support shared platform services used across the engineering organisation. Write clean, well-tested, and well-documented code, and participate in code reviews. Work within large-scale multi-tenant cloud services, developing your understanding of scalability and fault-tolerance. Use Generative AI tools and coding agents in day-to-day workflows to improve code quality and delivery speed. Collaborate with teammates and cross-functional partners to solve problems and deliver customer value. Contribute to production health, including on-call rotations and incident response, in a "you build it, you run it" environment. Identify and help resolve availability, reliability, and performance issues. Bachelor's degree in Computer Science or related field, or equivalent experience. 3-5 years building reliable, performant applications and microservices. Proficiency in TypeScript and Node.js. Ruby experience is a plus. Experience across frontend (React.js), backend, and database layers. AWS experience, including core compute, storage, and networking services. Curiosity, a desire to learn, and openness to feedback. A focus on customer experience in the work you deliver. Experience with HRIS integrations, such as Workday, SAP SuccessFactors, Dayforce, or similar platforms. Experience with Kubernetes, Docker, and Helm. Familiarity with Datadog or similar observability and monitoring platforms. Demonstrated use of Generative AI tools or coding agents in development workflows. Experience in enterprise SaaS organisations. Open-source contributions or a history of side projects. Why Firstup? Because you care - about people, the work you do, and the connections you make. Work is such a large part of life; it only makes sense to make it awesome. If you want to engage brilliant minds in a high-growth and inclusive environment where ideas are rewarded regardless of who they come from, join us. This is a rapidly changing space so if you thrive on ambiguity, are hungry for a challenge, and have the guts to speak your mind, you could be a perfect fit. We offer an excellent PTO program, great health benefits, a casual and friendly environment, remote work, and a leadership team who truly believes in your growth – both personally and professionally. Firstup is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state or local laws. #LI-TM1#LI-RemoteWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description At The Multiplayer Group (MPG), we create world-class multiplayer experiences through Co-Dev and Full-Dev partnerships. Our people-first culture supports a diverse, global team in a welcoming and flexible work environment. With teams spread worldwide, we prioritise connection—both online and in person. Giving back is central to who we are, with a focus on local communities, education, and sustainability. We are looking for a highly experienced, fully remote Principal Backend Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG to drive the delivery and deployment of backend services for industry-leading game projects. You will act as a key engineering contact for external co-dev clients, collaborating with the Technical Director and Lead to architect solutions that balance technical idealism with production pragmatism. You will define the technical architecture for major game titles, ensure implementation quality, and mentor the engineering team. We’re also growing our pool of AWS Certified engineers - and we encourage you to study for the certification using your Learning & Development budget when you join us. Requirements • Experience in game development and having shipped multiple live games (or similar products) with a high concurrent user count, • Proven experience architecting distributed applications with a high concurrent user base (hundreds of thousands), ideally proven with a released title or robust load tests, • Production experience with at least one of Java, Golang, C#, C++, Kotlin; experience with Python, Node.js and React is desirable, • Solid database experience, with the ability to work effectively with both SQL and NoSQL databases, • Proven experience with cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Professional level) would be advantageous, • Proven experience building backend infrastructure using infrastructure as code tools, e.g. Terraform, • Proven experience using Kubernetes and Docker to build products at scale, • Ability to autonomously architect and design online services based on a specification, • Ability to navigate changes calmly and manage multiple pieces of potentially confidential information, • Excellent time management and ability to work autonomously, • Clear and effective communicator with the ability to discuss technical strategy with non-technical stakeholders and adapt to client needs, • Experience building CI/CD pipelines from scratch or improving existing client solutions, • Awareness of security/cheating implications of technology choices, • Experience using Gen AI for code generation Beneficial • Deep expertise in at least one relevant area of backend technology, e.g. DevOps, Microservices, Cloud Architecture, • Understanding of how a backend service integrates with the game - experience with Unreal or Unity would be useful but not required, • An understanding of how to use LLMs to process and query structured and unstructured data Responsibilities • Individual contribution: architect systems, write code, deployments, etc., • Act as the engineering contact point between MPG and the client, working alongside the Project Manager and Engineering Leadership, • Translate client requirements into tasks for yourself and team members, • Make the right trade-offs to design systems based on performance, time, and budget, • Mentor and delegate pieces of work to other team members to help develop them as engineers, • Create estimated cost spreadsheets for online services based on projected concurrent users, • Cultivate engineering best practices across teams: modular design, code quality, testing, • Work with the Lead and Production to communicate risks, benefits, and future roadmaps, • Active mentorship of the engineering team towards professional accreditation (e.g., AWS Certification) and technical leadership. Benefits Our Benefits Flexible working: Remote-friendly long before it was the norm, with core hours that support both great work and real life. Support & wellbeing: Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported. Pension & life cover: A strong pension plan and life insurance to support your future and protect your family. Time for you: Minimum 25 days’ holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about. Parental leave: Family-first policies that support parents and caregivers with flexibility and balance. Levelling up: Annual L&D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career. Role Information: EN Studio: The Multiplayer Group Location: Europe, United Kingdom Area of Work: Game Development Service: Create Service Type: Code Employment Type: Permanent Fully Remote Working Pattern: Full Time Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavor to create a workplace which provides for equal opportunities for all employees and potential employees. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy _.

About StarComplianceStarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency. Location: Candidates MUST be UK based and have right to work. We are seeking a highly skilled and pragmatic Site Reliability Engineer (SRE) to help lead our evolution from legacy single-tenant monoliths to modern, scalable, multi-tenant microservices. This is a pivotal role for our business, enabling faster delivery, improved reliability, and real scalability across our SaaS portfolio. While we’ve got a solid handle on infrastructure monitoring, we’re still in the early innings when it comes to application-level observability, autoscaling, and progressive delivery strategies (e.g., canary releases, blue/green deployments). That’s where you come in. You’ll work closely with Infrastructure, Architecture, Engineering, and Support teams to design, build, and evangelize the next generation of SRE practices and tools that ensure uptime, resiliency, and customer trust. • Champion Reliability by Design: Collaborate with architects and engineers to build resilient, fault-tolerant systems across our evolving cloud-native stack., • Observability Overhaul: Lead the charge on full-stack observability, leveraging modern APM tooling, meaningful SLOs/SLIs, and actionable alerts., • Scaling Systems: Develop and implement auto-scaling strategies, load testing plans, and capacity forecasting for multi-tenant environments., • Progressive Delivery: Help implement and automate deployment strategies such as canary releases, feature flags, and blue/green rollouts., • Incident Response: Create and refine on-call processes, incident response playbooks, and blameless post-mortem routines., • Monitoring & Tooling: Own and evolve our monitoring infrastructure, integrating metrics, logs, and traces into a cohesive ecosystem., • Developer Empowerment: Build reusable templates, dashboards, and platform tooling to empower dev teams to “shift left” on reliability., • Cross-functional Collaboration: Work hand-in-hand with Infrastructure, Architecture, Support, and Engineering teams to drive shared accountability for uptime and performance., • 5+ years in SRE, DevOps, or Production Engineering roles, ideally within a SaaS or cloud-native environment., • Deep experience with cloud platforms (preferably Azure or AWS), and Infrastructure-as-Code tools (e.g. Terraform)., • Hands-on experience with Azure DevOps is strongly preferred, as our CI/CD and project workflows are fully built around it., • Proficiency with observability tools such as New Relic, Datadog, Prometheus, or similar., • Strong understanding of software deployment strategies, CI/CD pipelines, and release engineering., • Ability to code in at least one modern scripting or systems language (e.g., Python,PowerShell, Go, Bash)., • Experience operating multi-tenant environments with an emphasis on security, performance, and cost optimization., • Excellent communicator who thrives in cross-functional settings and can influence engineering culture around reliability., • Experience in regulated industries (e.g., financial services, healthcare)., • Background with service mesh architectures, distributed tracing, and gRPC/GraphQL., • Familiarity with incident management platforms (e.g., PagerDuty, OpsGenie)., • Contributions to open-source SRE tooling or frameworks. StarCompliance Background Checks All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information. To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks. Equal Opportunity Employer Statement We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws. This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, please request a copy of our Equal Opportunities Policy. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the UK. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. • Evolve the Interactive Learning Plugin's recommendation system, • Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations., • You’ll own a real-time recommendation service, • Build and operate applied models, • Develop, validate, version, monitor, and iterate on models used by the recommendation system., • You’ll own model training & serving, • Define what recommendation quality means, • Develop offline, online, and longitudinal measures of recommendation performance., • You’ll own feature pipelines, monitoring of the model and architecture, • Ship incremental improvements, • Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow., • Integrate improvements into the existing recommender rather than waiting for a complete replacement system., • Partner across disciplines, • Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service., • Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis., • Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions., • Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. • Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn., • HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems, • Applied model ownership. You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: • Experience with content, education, onboarding, or learning recommendation systems, • Experience with SaaS product telemetry and customer-account data, • Experience using warehouse-scale behavioral data, • Experience with directed graphs, sequence models, or prerequisite-aware recommendations, • Experience with contextual bandits or other exploration strategies, • Familiarity with Grafana or the broader observability ecosystem, • Experience with open source software or transparent development practices, • Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

About MILE MILE is the new members-only shopping destination redefining luxury commerce. We offer access to a curated, seasonless catalogue of the most sought-after products from globally renowned fashion houses—all at unmatched prices. Built at the intersection of technology and fashion, MILE delivers a seamless, elevated experience for both consumers and brands. Our mission is to become the leading digital destination for luxury—where exclusivity, value, and exceptional design converge. What We’re Looking For We're looking for a Senior Backend Engineer to join our growing engineering team. As an early technical hire, you’ll play a foundational role in shaping the systems that power our luxury commerce platform, from our membership model to product discovery, order management, and logistics. This is a high-impact role for someone who thrives in fast-paced, product-focused environments and wants to help build a company from the ground up. What You’ll Do • Design and implement scalable, high-performance backend systems to power our e-commerce experience., • Build and maintain APIs that support our frontend, mobile, and third-party integrations., • Architect systems for membership access, catalog management, checkout, order fulfillment, and payments., • Collaborate cross-functionally with product, design, and data teams to deliver features that elevate the user experience., • Own backend services end-to-end, from design to deployment and monitoring., • Contribute to best practices in code quality, testing, reliability, and observability., • Help define our backend architecture and make strategic technical decisions as we scale., • Mentor junior engineers and foster a culture of technical excellence and collaboration. Who You Are • 7+ years of experience building and scaling backend systems in production environments., • Genuine Rubyist having written custom DSLs and/or contributed to a major Ruby gem with the deepest knowledge of how to utilize Ruby’s metaprogramming capabilities for maximal terse and DSL-centric applications., • Experience with the specific challenges of concurrency, inventory management/reservation, currency/price management, and third party API integration system designs - push, pull, effective normalization, etc., • High familiarity with excellent microservices software design - using software DSLs over cloud deployed solutions - across dozens of models, concerns, and integrations., • Experience with relational databases (e.g., PostgreSQL) and familiarity with data modeling and performance optimization., • Familiarity with cloud infrastructure (e.g., AWS) and containerization (Docker, Kubernetes)., • Experience developing and deploying GraphQL and RESTful API interfaces., • Experience developing multi tenant systems, relating to concerns of access control, reporting, and authorization/authentication., • Strong understanding of system design, data structures, and algorithmic principles., • Comfortable working in high-growth, early-stage environments—bias toward action and strong product sense are key., • A collaborative teammate who communicates clearly and is excited to shape the future of a luxury tech brand. Bonus Points • Prior experience in e-commerce, marketplaces, or membership-based platforms., • Familiarity with event-driven architectures and message queues (Kafka, SQS, etc)., • Experience working closely with design or product teams in consumer-facing companies., • Passion for fashion, luxury, or retail innovation. Why Join MILE • Opportunity to play a key role in shaping the future of the company., • Collaborative and innovative work environment., • Career growth opportunities in a fast-growing organisation. Let’s build something people talk about. Together.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the UK. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Staff Product Manager for OpenTelemetry Experience, you’ll own the end-to-end journey for helping people and agents instrument workloads and successfully send useful OpenTelemetry data to Grafana Cloud. Your mission is to make Grafana Cloud the easiest and most trusted destination for OpenTelemetry workloads. You’ll reduce the uncertainty, complexity, and failure points users encounter between deciding to adopt OpenTelemetry and receiving healthy, correctly attributed, and actionable telemetry in Grafana Cloud. Teams can instrument workloads, directly or with the help of coding agents, through OpenTelemetry SDKs, automatic instrumentation technologies such as Beyla and SDK injection, or client-side OpenTelemetry Collectors. Each path presents different decisions, deployment requirements, configuration steps, and potential failure modes. You’ll define a coherent experience that helps users choose the right approach, complete setup successfully, troubleshoot problems, and understand whether their telemetry is healthy and useful. You’ll design a future in which a growing share of instrumentation work is performed by coding agents acting on behalf of developers. This means treating agents are first-class participants in the experience and ensuring that instrumentation options, configuration requirements, errors, and validation signals are structured, discoverable, and actionable by both humans and machines. Your scope will include: • OpenTelemetry SDK onboarding and configuration, • Automatic instrumentation experiences, including OBI/Beyla and SDK injection, • Client-side OpenTelemetry Collector deployment and onboarding, • Collector configuration, authentication, and initial connectivity, • Guidance and machine-readable context that help people and agents choose the right instrumentation approach, • Workflows that allow coding-agents to implement, configure and verify instrumentation safely, • Troubleshooting missing, incomplete, malformed, or unhealthy telemetry, • Validation signals that allow both people and agents to confirm that telemetry is healthy, correctly attributed, and usable in Grafana Cloud, • The transition from receiving telemetry to activating the appropriate Grafana Cloud observability solution Success does not stop when Grafana Cloud receives the first data point. Telemetry must arrive with the quality, context, and structure required to support meaningful observability outcomes. You’ll partner closely with teams responsible for experiences such as Application Observability, Kubernetes Monitoring, Infrastructure Observability, and Drilldown Apps to ensure OpenTelemetry workloads receive a first-class experience from initial setup through first value. This is a horizontal Staff-level product leadership role spanning multiple products and engineering teams. You may not directly own every SDK, collector, instrumentation technology, or downstream application involved in the journey. You will, however, be accountable for the coherence of the overall customer experience, its success measures, and the cross-product strategy required to improve it. AI will also be part of how you work, not only what you build. You’ll be expected to use AI tools regularly to accelerate customer-research synthesis, analyze product signals, explore technical workflows, prototype experiences, develop positioning content, and test agent-led instrumentation journeys. You’ll model thoughtful, hands-on adoption of AI while applying strong judgement to its outputs. The role is not focused on developing OpenTelemetry as an open source project in isolation. You’ll engage with and contribute to the OpenTelemetry ecosystem where appropriate, while measuring success through customer activation and outcomes in Grafana Cloud. What You’ll Be Doing: • Define the vision, strategy, and cross-product roadmap for the journey from an uninstrumented workload to healthy, useful telemetry in Grafana Cloud solutions, • Create coherent, opinionated experiences that help users choose and implement the right approach across SDK instrumentation, automatic instrumentation, and Collector-based deployment while preserving the flexibility advanced users require, • Identify and eliminate the leading causes of setup failure, abandonment, misconfiguration, and low-quality telemetry, • Establish shared experience principles, priorities, and success criteria across the product and engineering teams contributing to the OpenTelemetry journey, • Use customer research, product data, and market insight to prioritize investments and measure outcomes such as onboarding completion, time to useful telemetry, telemetry health, and workload expansion, • Partner with downstream Grafana Cloud solution teams to create a coherent transition from telemetry ingestion to meaningful product activation, • Extend beyond product delivery to how the OpenTelemetry experience is positioned and brought to market. In partnership with Product Marketing and go-to-market teams, you’ll help define the product narrative, sharpen out differentiation, and develop launches, technical content, adoption programs, and campaigns that create demand and accelerate customer activation., • Collaborate with Engineering, Design, Documentation, Developer Relations, Product Marketing, and go-to-market teams to deliver and communicate a differentiated OpenTelemetry experience, • Represent Grafana Labs and its customers in relevant OpenTelemetry ecosystem discussions What makes you a great fit: • 5+ years of Product Management experience, with a strong track record in developer tools, observability, infrastructure, data platforms, or another technically complex B2B product domain, • Experience leading strategy and execution across multiple engineering teams or product areas without relying on direct organizational authority, • Strong working knowledge of OpenTelemetry, including SDK instrumentation, OTLP, Collector pipelines, telemetry context, and semantic conventions, • Experience using or building instrumentation systems, agents, telemetry collectors, configuration products, or related infrastructure, • An understanding of the challenges involved in deploying and operating software across Kubernetes, virtual machines, and public cloud environments, • Experience turning complex onboarding, configuration, and troubleshooting workflows into clear and approachable product experiences, • A history of using customer research and product data to make decisions, align stakeholders, and deliver measurable outcomes, • Excellent written and verbal communication skills, with the ability to influence technical and nontechnical stakeholders in a remote, globally distributed organization Bonus Points: • Experience contributing to or building products around the OpenTelemetry or broader open source observability ecosystem, • Experience with automatic instrumentation, eBPF, or runtime-based instrumentation, • Firsthand experience as an SRE, platform engineer, developer, or observability practitioner, • Experience building product-led onboarding, configuration-validation, or telemetry-health experiences at scale In the UK, the base compensation range for this role is GBP 117,949- GBP 141,539. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Description Location: Cambridge, UK – This position offers flexible working options, including predominantly remote work. Applicants are preferably based (or willing to relocate) within a comfortable commuting distance of our office to attend onsite as required. Want to build the engineering foundations that help teams across Jagex deliver better software, faster? As an Automation Engineer at Jagex, you’ll design, build, and evolve the automation systems, tools, and workflows that support an open-world experience in Unreal Engine across PC and console platforms. As our Lead Delivery Engineer, you’ll establish and lead a new Delivery Engineering function within our Developer Platform division. Your team will own the shared tooling, automation, standards, and engineering practices that help our game, platform, and product teams build, test, and release high-quality software with greater speed, confidence, and consistency. This is a genuinely greenfield opportunity where you'll grow and lead a multidisciplinary team of Automation Engineers, set its direction and priorities, and work with development leads across multiple products and technology stacks to solve delivery challenges and drive the adoption of modern engineering practices. What you’ll be doing: • Shape and execute the strategy for Delivery Engineering, establishing a clear roadmap that improves developer productivity, software quality, release reliability, and engineering consistency across Jagex., • Build and lead a growing team of Automation Engineers, developing the team’s capabilities across software automation, testing, continuous delivery, release engineering, and developer tooling., • Partner with game, platform, and product engineering teams to understand their delivery challenges, turning their needs into practical solutions that development teams trust, adopt, and benefit from., • Lead the development of reusable platforms, automation, and engineering standards, helping teams improve how they build, test, release, and operate software while retaining appropriate autonomy., • Modernise fragmented tooling and delivery practices across the business, reducing duplication and applying emerging technologies, including AI, where they can demonstrate measurable improvements in engineering productivity., • Define and track engineering effectiveness metrics, using data to demonstrate improvements in developer experience, delivery performance, software quality, and platform adoption. What we’re looking for: • Proven experience leading the design and evolution of automation platforms, engineering frameworks, or developer tooling within a modern software engineering environment., • Strong programming experience in one or more languages, such as C#, Java, Python, Go, or TypeScript, with the technical depth to guide teams in building scalable and maintainable engineering solutions., • Extensive experience with automated testing and continuous delivery, including test automation frameworks and CI/CD platforms such as GitHub Actions, TeamCity, Azure DevOps, or comparable technologies., • Practical experience with cloud-native engineering environments, including cloud platforms, Infrastructure as Code, configuration management, containerisation, and orchestration technologies such as Terraform, Ansible, Docker, or Kubernetes., • Demonstrable understanding of software architecture, distributed systems, and microservices, with experience making pragmatic technical decisions across complex or varied technology stacks., • Proven ability to lead technical initiatives and drive adoption, including defining engineering metrics, influencing across teams, and delivering measurable improvements in software delivery. What we offer: When you join Jagex you can look forward to a generous Perks & Benefits package including: • Private Healthcare, including Dental Plan., • Discretionary annual performance bonus., • Minimum 6% Pension contributions., • Life Insurance., • Enhanced family leave policies from day 1., • Flexible working hours., • 25 days annual leave + Bank holidays & the option to buy/sell holidays + so much more! Inclusion & Accessibility Statement We are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability. If you require any reasonable adjustments to support you during the recruitment process, please let us know when you’re invited to interview. Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship for this position, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship. About Jagex We are Jagex: The RuneScape Company. Home to one of gaming’s most enduring success stories. We create deep, community-powered games with worlds that evolve, inspire, and endure. Our flagship MMORPG franchise, RuneScape, has welcomed over 300 million player accounts, inspiring generations of players across PC and mobile for 25 years. As we begin our 26th year, we are accelerating our strategy to expand RuneScape into a broader ecosystem of forever games and connected experiences, grounded in a renewed commitment to integrity and fair play. This includes the reduction of monetisation mechanics, as well as the launch of RuneScape: DragonWilds into Steam Early Access in 2025, representing a major step in building a multi-genre future for the RuneScape universe. We remain focused on building enduring worlds, empowering player-led innovation, and laying the foundations for the boldest era in RuneScape’s history. For more information, visit _ . Headquartered in Cambridge, United Kingdom, we are home to passionate creators, storytellers, engineers, and even a few dreamers, all united by a single mission to shape the future of online worlds and empower players to make them their own. We’re looking for people to join us who share our ambitions and values. We foster an inclusive workplace built on trust, autonomy, and a shared passion for creating experiences that inspire our communities. Our values guide everything we do: We Embrace Fellowship by collaborating and sharing openly. We Hone our Craft by always learning and improving; We Honour our Vows by being honest and transparent; We are our Customers’ Heroes by striving to understand our team & player needs, and We Seize The Day by making the most of every opportunity. Join us. The next era of RuneScape and the next chapter of Jagex: The RuneScape Company starts now.

Description At Spotted Zebra, we're building something we genuinely believe in: an AI-native end-to-end hiring platform that helps the world's leading organisations find the right people, faster and fairer than ever before. In short, we're making hiring something everyone loves again - both talent teams and candidates alike. We're a multi-award-winning Series A company giving talent leaders the solution they've always needed. Skills science native. AI-amplified. Built by people who've lived and breathed TA and knew there had to be a better way. Spotted Zebra brings Interview Intelligence, Skills Assessments, and AI Interview Agent together in one powerful platform, designed for intelligence and action. One powerful agent and assistant: Spot. Working the way talent teams need it to, always with humans in control. The result is talent teams get the insight to predict who will succeed, the speed to move before competitors, the governance to defend every hiring decision, and the capacity to focus on the human moments that matter most. But our product is only part of the story. Spotted Zebra isn’t just building an AI-native product; we’re building an AI-native company. AI is changing how we build, sell, support customers and make decisions. We use it to move faster, stay closer to customers, reduce unnecessary processes, and give talented people more leverage in their roles. That means joining Spotted Zebra isn’t just a chance to work on the future of hiring. It’s a chance to help shape what the future of work looks like inside a scaling company: compact, ambitious teams using AI to collaborate better, make decisions quickly, and deliver meaningful impact at speed. The FTSE100 and Fortune500 companies trusting us include British Airways, NIQ, Domino's, Lidl, Merlin Entertainments, AWE, United Utilities, and Paramount. We've been named Personnel Today's Talent Acquisition Supplier of the Year 2025, secured gold across multiple industry awards, and were recently named on the UK Top 100 Startups List. But what we’re most proud of is the team. People join Spotted Zebra because the mission is real, the product is genuinely exciting, and the opportunity to shape the future of hiring is huge. What makes it special is the way we work: smart, committed people in compact teams where trust is high, decisions happen quickly, and everyone has the chance to make a visible impact. If that sounds like the kind of place you want to do your best work - read on. Fun fact: A group of zebras is called a dazzle – and ours truly is dazzling! We create a culture in which our team thrives and gallops ahead. As we roam free and empower our dazzle, we gallop ahead on the journey to achieving our goals. We understand this journey will pose challenges along the way, yet we brighten the trail with our positive mindset and encouragement of others. The dazzle continuously moves, gaining knowledge and skills so that we can graze new grounds. You'll be joining Crimson, one of Spotted Zebra's AI Augmented Delivery (AAD) Crews - a lean team made up of a Product Manager and two Product Engineers. This is a role for someone who genuinely lives and breathes building for end users. You'll partner directly with your PM to shape and define what gets built, bringing your own product intuition to every conversation, and then go away and execute - owning the build out largely solo, with the support of your crew and subject matter experts in Data Science and Design, and seeing it all the way through to production. No long hand-off chains, no waiting on others to unblock you. Just ownership, momentum, and shipping things that matter. Key responsibilities: • Partnering closely with your Product Manager to define, scope, and prioritise features - bringing your own product thinking to the table, not just taking a ticket and running with it, • Owning features end to end, from architecture decisions through to production, across the full stack (front end, back end, and everything in between), • Leveraging AI tooling throughout your workflow to move fast, bridge skill gaps, and operate effectively within a lean crew, • Writing and maintaining clean, well-considered TypeScript across both frontend (React) and backend (NestJS), with GraphQL APIs connecting the two, • Collaborating with subject matter experts - including a Staff Engineers, Engineering Managers, Designers, Data Science, QA, and DevOps - on an ad hoc basis as your work demands, • Contributing to a delivery culture that values speed, ownership, and continuous improvement over bureaucracy and hand-offs Requirements • Proven experience as a full stack engineer with strong proficiency in TypeScript and React, • A product-oriented mindset - you care about the why behind what you're building, not just the how, • Demonstrable experience taking features from concept to production independently, • Comfort using AI tools (e.g. Cursor, Copilot, Claude) as a genuine part of your engineering workflow - not just experimenting, but integrating them meaningfully, • Strong communication skills and the ability to self-manage within a small, high-trust team, • Experience working in a startup or early-stage environment, • Experience working in a B2B SaaS environment, • Enthusiasm for helping shape how AI-augmented delivery teams actually work in practice - we're building this model as we go, and your input will matter, • Familiarity with our broader tech stack, including NestJS, PostgreSQL, Redis, RabbitMQ, GraphQL, Apollo, or similar technologies, • Experience in HR tech Benefits 🤝 Meaningful share options 🏥 Health insurance 💰 Enhanced pension 🍼 Nursery salary sacrifice scheme 🏖️ 25 days holiday 🏠 Remote-first 💻 Work from home budget 🧠 L&D budget 🦷 Dental cover 👀 Eyes care support 🏢 Co-working space 🧘 Wellbeing allowance ✈️ Travel insurance 🚗 Electric car scheme At Spotted Zebra, we welcome people of all stripes. We are committed to providing equal opportunities and an inclusive and diverse culture. We believe that each and every one of us possesses an extraordinary set of skills and abilities, waiting to be discovered, nurtured, and harnessed for the benefit of all. We are a team. And no matter your race, gender, sexual orientation, religion, civil or family status, age, or disability, we will empower you to unleash your superpower to help us create a world where everyone is able to utilise their unique blend of skills and abilities to contribute to the greater good. Everyone is unique and we encourage you to let us know in your application, or share with your recruiter directly, if there is anything we can do to make your interview experience with us more comfortable and positive. At Spotted Zebra, everyone is welcome. So even if you don't meet all the requirements, we would still love to hear from you. We are always keen to speak with people who are passionate about our mission. 🦓 Ready to gallop ahead with us? We're a team that moves fast, thinks big, and isn't afraid to challenge how things have always been done. If you're excited about using AI and skills science to transform how the world hires, apply now and a member of our dazzle will be in touch!

Senior Security Engineer (AI & DevOps) iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Cybersecurity Location: WeWork Waterloo - Hybrid ( Comp: $ (Base) + Company Performance Bonus (20%) + Share Options + US iProov Benefits The role was created specifically to provide the technical security depth that will allow us to accelerate our adoption of agentic AI, equipping developers and data scientists building our biometric products with the tools and workflows to use AI safely and at pace. You will work as the direct counterpart to our GRC-focused InfoSec Manager, owning the engineering and implementation side of our security posture across cloud infrastructure, developer workflows, AI systems, and our core security toolstack. This is a role for someone who has built and shipped software or infrastructure and brings that experience into a security context. • Architect and deploy the secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling. Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address a substantially broader attack surface than traditional AI tooling, and must hold up in a context where the underlying data is among the most sensitive we handle., • Be the primary technical security voice in decisions around the use and deployment of externally developed AI, ensuring the right controls are in place from the onset, • Continuously mature automated security controls into CI/CD pipelines and infrastructure-as-code deployments, championing the DevSecOps culture across a large engineering organisation., • Take hands-on ownership of our core security technology stack, including Wiz, CrowdStrike, Google SecOps, and Tailscale, ensuring these platforms are correctly configured, tuned, and integrated., • Drive continuous technical delivery of strategic security initiatives, systematically identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows., • Provide technical oversight of the security of the data pipelines feeding our internal AI systems and, critically, the permissions and access boundaries of agentic AI systems reaching out into other environments, enforcing the principle of least privilege, maintaining audit trails, and ensuring sensitive data and code integrity is handled with the rigour required., • Complement the work of our existing biometric and product focused Red Team by owning security coverage of the DevSecOps surface, the build pipeline, internal toolchain, cloud environments and developer infrastructure., • Act as the primary technical security partner to our GRC-focused InfoSec Manager, translating governance and compliance mandates into concrete, automated engineering controls., • Represent the technical security function in external audits. This includes presenting evidence of controls, articulating the security posture of our cloud and AI environments to auditors, and working closely with the InfoSec Manager to ensure the technical substance behind our compliance position is clearly and credibly communicated., • A foundational background in software engineering or DevOps before moving into a dedicated security role: you understand how code is written, tested, and deployed, and that experience is central to how you approach security problems., • Proven, hands-on experience securing modern cloud infrastructure and containerised environments, with a solid understanding of infrastructure-as-code principles and the security implications of how infrastructure is defined and provisioned., • Proficiency in deploying and administering enterprise security platforms, ideally with direct experience managing tools spanning CNAPP, EDR, SIEM, and zero-trust networking., • A heavy and active user of AI in both professional and personal contexts, including agentic AI tools and coding assistants, with a grounded understanding of the evolving AI threat landscape, including model supply chain risks, prompt injection, data exfiltration, agent misuse, and LLM-specific attack vectors., • Scripting and automation capability, particularly in Python, to build internal tooling, automate security checks, and reduce reliance on manual processes across the security function., • Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments., • The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language that resonates with both engineering peers and business leadership, including the confidence to present technical security evidence clearly in formal external audit settings., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. As a Senior Frontend Engineer on our Website team, you'll be a co-owner of the platform behind _: the component library, content model and rendering stack that every page on our marketing site is built from. You'll shape direction and make key technical decisions with the team, likely with a focus area of your own but context across the whole system. This is a hands-on engineering role, and your primary output is high-quality component and schema code, plus the tooling that lets others build with it. Millions of people visit _ every month, and it is one of the main ways we win new customers. That comes with real responsibility. The decisions you make are seen at scale, and we set the quality bar accordingly. The defining challenge of this role is composability: a marketing site that marketers, and increasingly AI agents, can build pages with, without breaking design, performance or SEO. Build, scale and evolve our section library: the Astro components, Sanity schemas and design tokens that let us compose marketing pages consistently and accessibly. Own the content model. Design schemas that resist misuse, so an editor, or an agent, can build a page that is correct by construction rather than correct by review. Take Figma component specs all the way to production: responsive across mobile, tablet and desktop, accessible by default, matching design intent precisely. Extend the platform for AI-assisted development, so coding agents can generate on-brand, on-spec sections from a design spec as reliably as a person can. Own SEO integrity as a first-class engineering concern: canonicals, sitemaps, structured data, redirects, and no traffic cliffs on launch. Raise the bar on engineering standards across the website surface: thorough code review, patterns others can follow, and tests around the parts that actually break. Maintain and extend localisation across nine locales and a translation pipeline, so the system works for a global audience. Shape the technical direction of the website platform over the next 6 to 12 months, and champion its adoption with the people who publish on it. At least five (5) years as a software engineer, including three (3) at senior level, building front end for content-driven or marketing platforms. Real ownership of a content model in Sanity. You've designed schemas other people had to live with, and you have opinions about references vs. embedded objects, when a variant belongs in the schema versus at runtime, and how to stop a section library sprawling. GROQ and Portable Text are familiar territory. Deep front-end expertise: expert HTML, CSS and TypeScript, with a strong command of component API design and the developer experience of a shared library. You can work end to end. Comfortable owning the server side as well as the front end: SSR, serverless and edge runtimes, API routes, a SQL database, secrets and CI. You should be able to take a feature from schema to component to the route that serves it without handing off, and be happy debugging something that only reproduces in production. Solid understanding of responsive design, cross-browser compatibility and web performance, and comfortable building to WCAG 2.2 AA. Accessibility is part of your definition of done, not a separate pass. You care that marketing sites are measured, on performance, SEO, analytics events and conversion, and you're happy being accountable to those numbers. A strong sense of craft and attention to detail, and the judgement to balance design intent against engineering constraints. Strong communication and collaboration skills. You explain your reasoning, review generously, and treat levelling up the people around you as part of the job. Prior experience working on a large SaaS marketing website, at real traffic and with real stakes attached. Astro, or another islands or static-site framework. Cloudflare Workers, or another edge or serverless platform. Experience with AWS Lambda. Tailwind CSS v4, and experience working from a token-based design system. Experience, or strong interest, in making component libraries and content models consumable by AI agents. A strong design sensibility: an eye for visual detail and the judgement to push back on and improve design decisions, not just build them. Experience with localisation and internationalisation at scale for a global audience. Analytics and tag management implementation: dataLayer events, server-side tagging, getting attribution right without hurting performance. At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles _. 30 min call with our Technical Recruiter 45 min call with the Head of Website about your past projects 75 min practical exercise with one of our engineers. We hand you a real Figma section spec and work through how you'd model and build it. Collaborative, not Leetcode. 60 min call with leadership, focused on examples of collaboration, growth, and the details of your future team. Our preference is for this role to be based either in-office or remote in London, UK. We can also accommodate remote workers elsewhere in Europe subject to compliance and right to work checks. This is full-time employment only, usually through OysterHR. No contractors possible.

What are we building? Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically. Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us? What’s the position? This is an exciting opportunity to join our rapidly growing technology team, responsible for continuous growth and support of an unrivalled betting experience for millions of sports fans everywhere. We’re looking for a Principal Mobile Engineer who will bring their creativity and experience to Hard Rock Bet to help us build software with a spark of magic. This is a role that works closely with Product Management, Design, QA, and Backend Engineering to deliver a full-featured mobile app. The candidate should have a strong track record developing React Native apps, as well as experience with iOS and/or Android apps, preferably with a background in sportsbook, gaming, or a related industry. Your responsibilities will include: Lead the Frontend technical direction of the Casino Technology unit, owning architectural decisions within the domain while ensuring alignment with the broader mobile platform. Partner with peer Principal Engineers in Core and Sportsbook units and the Technical Director for Mobile to define, evolve, and uphold shared engineering standards, patterns, and conventions. Own the architecture and evolution of Casino-domain features within a high-performance React Native application for iOS and Android, serving tens of thousands of daily users across multiple product variants and regulatory jurisdictions. Develop & improve a high-performance mobile application in React Native for iOS and Android, serving tens of thousands of daily users. Drive multi-quarter technical initiatives — legacy system migration, platform modernization, design system adoption, and build infrastructure improvements — collaborating across units to coordinate execution. Mentor and develop senior and staff engineers through architectural guidance, code review culture, and hands-on pairing on complex problems. Partner with Product Management, Design, QA, and Backend Engineering to shape roadmaps, inform feasibility, and make build-vs-buy-vs-migrate decisions for the Casino domain. Evaluate and integrate AI-assisted development tools and workflows to improve team productivity, code quality, and developer experience. Navigate the challenges of working in a highly regulated industry, ensuring compliance and stability while minimizing the architectural cost of jurisdiction-specific requirements. Serve as the escalation point for complex technical problems within the Casino unit — leading troubleshooting efforts, identifying root causes quickly, and turning incidents into systemic improvements. Champion comprehensive observability — analytics, error reporting, and performance monitoring — and use data to drive architectural and product decisions. Contribute to cross-unit technical forums, representing Casino engineering priorities and collaborating on platform-wide decisions. Employ state-of-the-art technologies and strategies to optimize content delivery, application performance, and developer productivity. Cultivate a positive engineering culture that values quality, pragmatism, and continuous improvement. What are we looking for? We are looking for a technical leader who raises the engineering bar within their unit — someone who identifies systemic problems before they escalate, makes sound architectural decisions, and multiplies the output of the engineers around them. The ideal candidate isn't just interested in what we're building right now, but wants to understand where we're going and partners with peer Principals and the Technical Director for Mobile to shape the technical strategy that gets us there — all in service of delivering the best customer experience. The ideal candidate will have: 10+ years of experience in developing mobile applications (native and hybrid), with at least 7 years focused on React Native. Bachelor's degree in Computer Science or a related field; or equivalent demonstrated experience. Deep expertise in React Native application architecture using TypeScript in strict mode, with a track record of defining patterns and conventions adopted across engineering teams. Mastery of dual state management strategies — client state (MobX) and server state (TanStack React Query) — including the judgment to enforce clear boundaries between them at scale. Comfortable working with AI-assisted development tools (e.g., Claude Code, Cursor, Codex) and interested in shaping how the team leverages them — not just as a user, but in defining conventions, guardrails, and workflows that scale. Proven experience designing real-time mobile systems using RESTful services, WebSockets, and GraphQL, with an emphasis on resilience, latency, and graceful degradation. Significant native iOS (Swift/Objective-C) and/or Android (Kotlin/Java) experience, particularly in authoring and maintaining native module bridges and managing cross-boundary data flow. Prior experience in the igaming, sportsbook, or online gaming industry, with a strong understanding of the regulatory, compliance, and geolocation constraints that shape product and architecture decisions. Experience architecting multi-variant mobile applications — managing divergent product configurations, jurisdiction-specific logic, and feature flag–driven rollouts (e.g., LaunchDarkly) within a single codebase. Ownership of cross-cutting technical initiatives such as design system creation, legacy codebase migration strategies, developer tooling, or CI/CD pipeline optimization for App Store and Play Store delivery. Comprehensive knowledge of the mobile development lifecycle — application architecture, OS-level APIs, debugging, performance profiling, security hardening, and deployment — with the ability to set org-wide standards in each area. Demonstrated ability to identify, scope, and drive multi-quarter architectural improvements — balancing long-term technical vision against near-term product delivery. A track record of mentoring senior and staff engineers, elevating team capabilities through code review culture, technical documentation, and architectural guidance. Strong cross-functional influence — able to partner with Product, Design, QA, and Backend Engineering leadership to shape roadmaps and make build-vs-buy-vs-migrate decisions. Contagious and positive work ethic that raises the bar for engineering quality across the organization, not just the immediate team. What’s in it for you? We offer our employees more than just competitive compensation. Our team benefits include: Competitive pay and benefits Flexible vacation allowance Flexible work from home or office hours Startup culture backed by a secure, global brand Opportunity to build products enjoyed by millions as part of a passionate team Roster of Uniques We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer) Your application has been successfully submitted! _

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Senior Software Engineer on the ‘Core’ team, which is part of the wider ‘Order Engineering’ group. The Core team owns key parts of Olo’s platform, including baskets, orders, checkout, promotions, capacity management, and the services that power ordering experiences at scale. We build and maintain the APIs, services, and tools that brands and partners rely on to create reliable, flexible, and high-performing digital ordering experiences. As a Senior Software Engineer on this growing team, you’ll play a key role in shaping the future of these systems. You’ll help guide technical decisions, improve platform reliability and scalability, contribute hands-on code, and mentor other engineers. This is an opportunity to have meaningful influence across a broad and business-critical area of the platform while helping evolve the architecture for the next stage of growth. On a management level, the team is led by a dedicated Engineering Manager who is based in Northern Ireland. Exhibit mastery of the ‘Core’ team’s domain, taking a leading role in the design and architecture of complex systems and influencing technical direction and strategy. Own the delivery of large-scale features and projects, coordinating efforts across multiple teams and ensuring alignment with overall business objectives. Provide mentorship and technical leadership to both junior and senior engineers, helping to grow the technical expertise within the team and fostering a culture of continuous improvement. Collaborate closely with Product, Design, and other stakeholders to shape requirements, making architectural and technical decisions that balance quality, performance, and delivery timelines. Ensure the implementation of high-quality, resilient, and scalable distributed systems, incorporating resilience mechanisms and best practices. Lead troubleshooting and incident management efforts, taking a proactive role in resolving critical production issues and improving system reliability. Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage. Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various services and platforms. Stay ahead of emerging technologies and trends, assessing new tools and techniques to enhance the team's capabilities. Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs. Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise. Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience. 8+ years of experience in software engineering. Expert Programming Skills: Advanced proficiency in C#/.Net, with experience in designing and implementing large-scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform. Leadership & Cross-Team Collaboration: Demonstrate strong leadership and collaboration skills, with the ability to influence and guide technical efforts across multiple teams and ensure alignment with business objectives. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at _. _ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. • Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup), • Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows, • Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, • Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing, • Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts, • Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space, • Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively, • Minimum 3 years of engineering experience, • Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning, • Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.), • Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production, • Solid understanding of cloud technologies, containerisation and building scalable AI applications, • Ability to integrate AI/ML models into real-world applications, focusing on usability and performance, • Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment, • Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus • Experience or strong interest in energy markets and trading strategies, • Understanding of weather forecasting, energy demand patterns, and production modelling, • Exposure to Natural Language Processing (NLP) or other related fields, • Competitive salary and an equity sign-on bonus, • Biannual bonus scheme, • Fully expensed tech to match your needs, • Paid annual leave, • Breakfast and dinner for office based employees

📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + | ✨ ⭐Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 🔑You’ll play a key role by... • Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite., • Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases., • Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards., • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices., • Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance., • Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. 🤩We’d love to hear from you : • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others., • You have experience building robust and reliable data sets that require a high level of control., • You enjoy working with cross functional fast moving teams and are passionate about serving our customers., • You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers., • You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture., • You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business., • You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables., • You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering., • Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: • Recruiter call, • Initial call, • Technical task, • 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰 £97,800-£125,000 base + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-AS #LI-Remote

Position Title: Full Stack Senior Software Engineer Reports to: Engineering Manager Location: Remote (UK) Contract type: Permanent About BibliU Sunday Times Tech 100 | Top 10 UK EdTech Company BibliU is an award-winning education company that provides Day 1 access to affordable course materials, making learning more equitable and effective, in addition to providing campus store management. We partner with over 3,000 educational publishers, including Pearson, Oxford University Press, and Wiley, to offer a wide range of high-quality content to students. Our platform provides rich engagement data to academics and allows students to find information faster. We have disrupted the textbook industry by reducing the cost of education significantly and increasing publisher sales. Founded in late-2015, we are a rapidly growing company transforming the way students and educators access and interact with learning materials. Our revenue has grown rapidly, with 150% YoY growth in the last three years. Last year, we raised $21m in a Series B funding round led by Nesta Impact Investments, with participation from Guinness Asset Management, Stonehage Fleming, and Oxford Sciences Enterprises. In late 2023, we acquired Texas Book Company (now ‘BibliU Campus’) in order to deliver a more complete solution of products and services to higher ed students, faculty and administrators across the US! Since the addition of BibliU Campus, we have seen a dramatic increase in customers due to a much improved product market fit. We are very excited about our growth and are expanding the team to meet our new market potential! We are a diverse and inclusive team of professionals who are passionate about education and technology. Our culture is fast-paced, innovative, and dynamic, and we are always looking for talented individuals to join our team. If you are looking for a challenging and rewarding career in edtech and campus store management, BibliU is the perfect place for you. Join us and help revolutionize the way students and educators access and interact with learning materials! Position Overview As a Software Engineer at BibliU, your primary goal is to drive significant advancements in our digital learning platform, directly impacting the learning experience of students and educators globally. In this role, you will: Enhance Educational Accessibility: By developing and refining features, you'll make educational resources more accessible, fostering an equitable learning environment. Your work will directly contribute to reducing educational disparities and enabling students from diverse backgrounds to achieve their academic goals. Innovate for Impact: You will leverage cutting-edge technologies to create innovative solutions that enhance the user experience. Your contributions will help in making the platform more intuitive, responsive, and effective, thereby increasing engagement and improving learning outcomes. Collaborate for Success: Working in tandem with cross-functional teams, you'll play a pivotal role in translating ideas into reality. Your collaboration will ensure that the development process aligns with both the company's vision and the users' needs, leading to products that resonate with our audience and uphold our commitment to quality education. Drive Continuous Improvement: You will not only focus on developing new features but also on enhancing existing ones. Collaborating closely with the product team, you'll ideate improvements and innovative solutions. Additionally, you will provide ongoing support to our existing users by addressing technical issues, assisting customer support teams, and suggesting overall service improvements. This ensures that our platform not only meets current educational needs but also adapts to future challenges and opportunities. Foster a Culture of Learning: As part of a dynamic team, you will contribute to a culture of continuous learning and innovation. By sharing knowledge and best practices, you will aid in the professional growth of your peers and help maintain BibliU's status as a leader in digital education. Enhance Educational Accessibility: By developing and refining features, you'll make educational resources more accessible, fostering an equitable learning environment. Your work will directly contribute to reducing educational disparities and enabling students from diverse backgrounds to achieve their academic goals. Enhance Educational Accessibility: By developing and refining features, you'll make educational resources more accessible, fostering an equitable learning environment. Your work will directly contribute to reducing educational disparities and enabling students from diverse backgrounds to achieve their academic goals. Innovate for Impact: You will leverage cutting-edge technologies to create innovative solutions that enhance the user experience. Your contributions will help in making the platform more intuitive, responsive, and effective, thereby increasing engagement and improving learning outcomes. Innovate for Impact: You will leverage cutting-edge technologies to create innovative solutions that enhance the user experience. Your contributions will help in making the platform more intuitive, responsive, and effective, thereby increasing engagement and improving learning outcomes. Collaborate for Success: Working in tandem with cross-functional teams, you'll play a pivotal role in translating ideas into reality. Your collaboration will ensure that the development process aligns with both the company's vision and the users' needs, leading to products that resonate with our audience and uphold our commitment to quality education. Collaborate for Success: Working in tandem with cross-functional teams, you'll play a pivotal role in translating ideas into reality. Your collaboration will ensure that the development process aligns with both the company's vision and the users' needs, leading to products that resonate with our audience and uphold our commitment to quality education. Drive Continuous Improvement: You will not only focus on developing new features but also on enhancing existing ones. Collaborating closely with the product team, you'll ideate improvements and innovative solutions. Additionally, you will provide ongoing support to our existing users by addressing technical issues, assisting customer support teams, and suggesting overall service improvements. This ensures that our platform not only meets current educational needs but also adapts to future challenges and opportunities. Drive Continuous Improvement: You will not only focus on developing new features but also on enhancing existing ones. Collaborating closely with the product team, you'll ideate improvements and innovative solutions. Additionally, you will provide ongoing support to our existing users by addressing technical issues, assisting customer support teams, and suggesting overall service improvements. This ensures that our platform not only meets current educational needs but also adapts to future challenges and opportunities. Foster a Culture of Learning: As part of a dynamic team, you will contribute to a culture of continuous learning and innovation. By sharing knowledge and best practices, you will aid in the professional growth of your peers and help maintain BibliU's status as a leader in digital education. Foster a Culture of Learning: As part of a dynamic team, you will contribute to a culture of continuous learning and innovation. By sharing knowledge and best practices, you will aid in the professional growth of your peers and help maintain BibliU's status as a leader in digital education. Your role as a Software Engineer is not just about writing code; it's about creating tangible outcomes that enhance the learning experience, drive technological innovation, and contribute to the overall mission of BibliU to revolutionise the field of digital education. Our Current Environment Typescript Vue.js Postgres DynamoDB Redis Amazon Web Services Mixture of Lambda & ECS Kubernetes Amazon CDK Github + Github Actions Typescript Typescript Vue.js Vue.js Postgres Postgres DynamoDB DynamoDB Redis Redis Amazon Web Services Amazon Web Services Mixture of Lambda & ECS Mixture of Lambda & ECS Kubernetes Kubernetes Amazon CDK Amazon CDK Github + Github Actions Github + Github Actions Key responsibilities Develop and maintain high-quality software solutions aligned with user needs and business goals. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs in the software. Help maintain code quality, organisation, and automatization. Participate in code reviews and contribute to team learning and improvement. Stay up-to-date with new technology trends, applications, and protocols in the software engineering world. Develop and maintain high-quality software solutions aligned with user needs and business goals. Develop and maintain high-quality software solutions aligned with user needs and business goals. Collaborate with cross-functional teams to define, design, and ship new features. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs in the software. Identify and correct bottlenecks and fix bugs in the software. Help maintain code quality, organisation, and automatization. Help maintain code quality, organisation, and automatization. Participate in code reviews and contribute to team learning and improvement. Participate in code reviews and contribute to team learning and improvement. Stay up-to-date with new technology trends, applications, and protocols in the software engineering world. Stay up-to-date with new technology trends, applications, and protocols in the software engineering world.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. The Opportunity: The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale. In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply. What You’ll Be Doing: As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves: • Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure, • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.), • Designing safe upgrade and rollout strategies at scale, • Improving observability, automation, and operational ergonomics, • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance, • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc., • Serving as a primary escalation point and on-call for relevant incidents, • Owning the relationship with all system vendors, including WarpStream Labs and others., • As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership. What Makes You a Great Fit: • Regular 1:1s with your manager and close collaboration with teammates across regions, • Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design, • Improving the diagnosability of core streaming and database systems in production, where possible., • Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure, • Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies, • Planning and executing safe upgrades and rollouts across dozens of production clusters, • Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy, • Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk, • Sharing best practices and distributed systems knowledge with partner teams, • Participating in incident response, from investigation through resolution and post-incident reviews (PIR) Requirements: • 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles., • Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Solid understanding of distributed systems design and large-scale system trade-offs., • Proficiency in at least one programming language (Go preferred, but not required)., • Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior., • Experience participating in blameless incident response and writing high-quality post-incident reviews., • Clear communicator who can collaborate across teams and work autonomously., • Curious, pragmatic, action-oriented, and kind (this is important!) Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. We are looking for an experienced Senior Application Security Engineer to join our growing team at Tripadvisor Experiences. In this role, you will take a lead position in securing the applications that power our platform. As a Senior Engineer, you will design and implement advanced security measures, mentor junior engineers, and play a key role in ensuring the security of our products and infrastructure. This is a fantastic opportunity to influence our security practices and help shape the future of application security within the organisation. This role is based in London, UK. We hire based on a permanent contract. What You’ll Do: • Lead the design and implementation of advanced application security measures, including encryption, secure APIs, and identity management., • Conduct in-depth threat modelling and risk assessments to identify and mitigate potential security risks., • Performing manual security assessments including code reviews., • Act as a Subject Matter Expert (SME) for security breaches, including performing root cause analysis and creating corrective actions related to security vulnerabilities., • Develop and enforce application security policies across multiple engineering teams, ensuring consistency and scalability., • Mentor and train junior engineers, helping them improve their security knowledge and practices., • Provide expert advice on security architecture and design for new features and systems., • Collaborate with engineering and product teams to integrate security requirements into software development lifecycles., • Champion security initiatives by advocating for prioritisation of security issues and resolution of technical debt., • Stay up to date with the latest security threats and industry best practices, ensuring that the team remains proactive in its approach to security. What You’ll Need: • Extensive experience in application security, including expertise in secure coding practices, threat modelling, vulnerability assessments, and incident response., • Hands-on experience with security testing tools (SAST, DAST) and their integration into development pipelines., • Strong understanding of advanced security concepts such as encryption, secure software design, identity management, and API security., • Experience with cloud security (AWS, Azure, etc.) and securing microservices architectures., • Proven leadership skills, with the ability to guide and mentor other engineers and influence security practices across teams., • Excellent communication and collaboration skills, with a track record of working closely with cross-functional teams to improve security posture., • 4+ years experience working as a Security Engineer / Application Security Analyst Preferred Qualifications: • Experience with regulatory frameworks (e.g., GDPR, PCI-DSS, SOC 2) and their integration into security processes., • Industry-recognised security certifications (e.g., OSCP, OSCE, or similar)., • Familiarity with the latest security tools and frameworks to proactively identify vulnerabilities and mitigate threats., • A passion for mentoring and developing others, with a commitment to continuous learning and improvement. What We Offer • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses, • “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team., • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work., • Donation matching. Give back? Give more! We match qualifying charitable donations annually., • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs., • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you., • Travel perks. We believe that travel is employee development, so we provide discounts and more., • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges., • Health benefits. We offer great coverage and competitive premiums., • Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

At The Multiplayer Group (MPG), we create world-class multiplayer experiences through Co-Dev and Full-Dev partnerships. Our people-first culture supports a diverse, global team in a welcoming and flexible work environment. With teams spread worldwide, we prioritise connection—both online and in person. Giving back is central to who we are, with a focus on local communities, education, and sustainability. We are looking for a talented, fully remote Software Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG. We deliver, deploy and help integrate backend services alongside external co-dev clients as part of industry leading game projects, and collaborate to define solutions and implement features on time and to a high standard. We’re also developing an internal tool used across MPG, as well as growing our pool of AWS Certified engineers - both of which you will be involved with when you join us. • Experience in game development and having worked on at least one game title in a commercial setting developing server backends for AAA games, free-to-play (mobile) games, casino apps or similar, with a large number of concurrent users, • Production experience with at least one of Java, Golang, C#, C++, Kotlin, • Experience with one or more cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Associate or above) would be advantageous, • Experience with infrastructure as code tools, e.g. Terraform, • Demonstrable database experience with both SQL and NoSQL, • Experience building distributed applications, • Experience with Git or Perforce, or other source control software, • Ability to adapt to new tools, languages, and concepts as required by the project, • Knowledge of Microservices and Service Oriented Architectures (SOA), especially Kubernetes and Docker, • Have used or built a CI/CD pipeline to validate and test code, • An understanding of how to use LLMs to process and query structured and unstructured data, • Experience using Gen AI for code generation, • Ability to create supporting documentation, designs, comments, etc, • Excellent time management and ability to work autonomously, • Attention to detail with ability to comprehend and follow direction, • Clear communicator with the ability to verbalise conceptual thoughts and the willingness to accept constructive critique Responsibilities • Individual contribution: construct systems, write code, deployments, etc., • Work with the team lead and stakeholders to estimate and prioritise work, • Work alongside peers to iterate on solutions that fit requirements, • Keep the project lead and producer apprised of revised estimates and delivery times, • Promote high standards and process: tests, CI/CD, documentation, • Help and support team members in day-to-day work, • Understand, maintain and expand existing code and develop new features or systems Please don’t forget to include your CV, a cover letter, and links to your GitHub, website or portfolio. Our Benefits Flexible working: Remote-friendly long before it was the norm, with core hours that support both great work and real life. Support & wellbeing: Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported. Pension & life cover: A strong pension plan and life insurance to support your future and protect your family. Time for you: Minimum 25 days’ holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about. Parental leave: Family-first policies that support parents and caregivers with flexibility and balance. Levelling up: Annual L&D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career. Role Information: EN Studio: The Multiplayer Group Location: Europe, United Kingdom Area of Work: Game Development Service: Create Service Type: Code Employment Type: Permanent Fully Remote Working Pattern: Full Time Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavor to create a workplace which provides for equal opportunities for all employees and potential employees. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy _.

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker), • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale., • Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices., • Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps., • Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions., • Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. What Sets You Up for Success: • 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production., • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)., • Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms), • Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms., • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes)., • Expert-level SQL skills and experience working with large datasets for analysis and modeling., • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges., • Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Bonus Skills to Stand Out (Optional): • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment., • Experience with data quality monitoring tools and frameworks., • Master’s or PhD in Computer Science, Mathematics, or a related field. #LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at _ Company _ to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits: • Remote First, Remote Always, • PTO in accordance with local labor requirements, • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University, • Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at _. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE

Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ‍♂️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company’s success through options If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace ‍♀️ The Role ‍♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work – you'll complete a short take home assignment Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The AppCore Stacks squad owns the systems that create, configure, reconcile, migrate, and operate Grafana Cloud stacks at scale. A stack is the customer-facing Grafana Cloud environment that connects an organization to Grafana and the backend services it uses, including Mimir, Loki, Tempo, plugins, dashboards, data sources, and stack-level configuration. Our work sits at the intersection of product, platform, and operations. We build the control-plane services and workflows that keep stack state aligned across grafana.com, Stack State Service (SSS), Hosted Grafana, cloud regions, and the underlying Grafana Cloud infrastructure. When this domain works well, customers get reliable stack creation, safe configuration rollout, predictable migrations, and fewer manual operational interventions. • Design, build, and operate reconciliation systems, including the SSS backend, to track desired stack state, detect and repair drift across stack templates, grafana.com state, Hosted Grafana, and actual customer stack configuration, • Collaborate across SSS, grafana.com, and deployment configurations to ensure stack lifecycle workflows remain reliable, observable, and resilient, • Improve operational efficiency by reducing deployment complexity (e.g., aiming for single PR regional SSS deployment) and contributing to the Stack Config Reconciliation project, • Manage rollout mechanisms for provisioned plugins, dashboards, data sources, Grafana versions, release channels, and stack-level configuration, • Support new region and cluster rollouts, including the operational paths required to bring stacks online safely in new Grafana Cloud regions, • Improve incident response and recovery paths for stack misalignment, reconciliation failures, plugin rollout issues, and Hosted Grafana integration failures, • Partner with Product, Hosted Grafana, Infrastructure, Support, and adjacent AppCore squads on customer-impacting stack lifecycle work, • Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations, • You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Backend Engineer who thrives on building production systems where correctness, scalability, and operational clarity are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: • Writing efficient, readable, and easy to maintain code, • Implementing new microservices or systems, • Collaborating with teammates and other departments to reach consensus on proposed solutions, • Coordinating with product and UX when needed, • Responding to customer requests and feedback, • When ready, participating in our follow-the-sun OnCall rotation, • Participating in team decisions, such as roadmap planning and prioritization Requirements: • You have at least 1 year of fully remote work experience, • You have some experience working on a SaaS platform and are familiar with common distributed systems concepts (e.g., scalability, multi-tenancy, HA)., • Have professional experience with Golang and be willing to work across both backend service and application code, • Care deeply about developer and user experience and the quality of the products that you work on, • Have some experience contributing to the delivery of projects, from initial brainstorming to shipping a product to the customer., • You write clean, well-tested software that other engineers can understand, operate, and maintain, • Can take on well-defined tasks, break them down, and execute iteratively to deliver working solutions and gather feedback., • You are willing to collaborate across teams and ensure your work is aligned with the needs of other squads and external stakeholders., • Familiarity with Kubernetes in AWS, GCP, or Azure, and exposure to infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Experience participating in blameless incident response and contributing to post-incident reviews. Bonus Points For: • Experience with TypeScript/Node.js, • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems, • Experience with Jsonnet/Tanka, Terraform, Flux, Argo, or similar deployment/configuration tooling, • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems, • Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch Compensation & Rewards: In United Kingdom, the compensation range for this role is GBP 72K - GBP 90K. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Neoflow is a platform that transforms how businesses globally handle payment processes. Our aim is to streamline your payment operations, ensuring they are smooth, efficient, and secure. We eliminate interruptions and minimise the time spent managing payment operations, so our clients can concentrate on expanding their business. We are currently seeking a Full Stack Engineer to join our dynamic team. In this role, you will have the opportunity to work with a team of talented professionals, driving the company's technological objectives forward. Neoflow prides itself on its commitment to innovation, and as our Full Stack Engineer, you will play a pivotal role in developing and implementing cutting-edge solutions. This role is not just a job—it's a career packed with opportunities to grow and make a significant impact in a fast-paced, tech-driven environment. We are a remote first company and we welcome applications • Develop and maintain web applications using front-end technologies such as HTML, CSS, and JavaScript, • Design and implement database schemas and query optimization for efficient data storage and retrieval, • Collaborate with cross-functional teams to develop and integrate APIs for seamless data exchange, • Perform code reviews and ensure adherence to coding standards and best practices, • Troubleshoot and debug issues, and provide timely resolutions to ensure smooth functioning of the application, • Bachelor's degree in Computer Science or a related field, • Minimum of 3 years of experience in full stack development, • Proficiency in programming languages such as JavaScript, Python, and Java, • Experience with front-end frameworks like React or Angular as well as backend Javascript frameworks such as NodeJS, ExpressJS, or NestJS., • Knowledge of database systems and SQL queries, • Previous fintech experience will be an advantage, but not a requirement Join Neoflow, a leading company in fintech. Apply now for the Full Stack Engineer position and be part of our innovative and dynamic team!

Senior Fullstack Software Engineer — Ecosystem Experience At Semble, we are on a mission to enable health professionals to amplify their impact. We improve the way healthcare is delivered to millions of people by providing doctors and their teams with powerful, innovative, intuitive, and secure software. Our cloud-based clinical system is already used by thousands of clinicians, making their lives easier and saving them money, while structuring their health data to help research. You’ll join our Ecosystem Experience team — the group that connects Semble to the wider healthcare ecosystem: labs, pharmacies, partner APIs, webhooks, and Semble Connect, our automation platform built on Workato. We work closely with Product, Business, and external partners, and we ship in a large TypeScript monorepo used across the company. We are a passionate and driven team, proud to unite under strong cultural drivers: • Impact — We do work that matters., • Collaboration — We are in it together., • Human touch — We care deeply We are also quick to embrace new technologies: we have rapidly adopted AI internally, and we are always looking to work with people who are excited to augment their work with AI. This role can be fully remote in the UK and EU, with occasional travel to our London or Paris offices, within +/- 2 hours of the GMT time zone. We are unfortunately not able to consider candidates located outside these locations and time zones at this stage. What You Will Be Doing As a senior engineer on Ecosystem Experience, you’ll own problems end to end — from partner discovery through design, implementation, rollout, and production reliability. We expect you to operate with a high degree of autonomy and to raise the technical bar for the team. • Lead the design and delivery of integrations that move clinical and operational data safely between Semble and external systems, including REST/GraphQL APIs, webhooks, HL7, SFTP, and iPaaS/automation flows., • Work across the stack in our Yarn/Nx TypeScript monorepo: React on the frontend, Node.js services and domain modules on the backend, GraphQL (internal and public APIs), and MongoDB., • Take ambiguous partner specs and product goals and turn them into clear technical designs, sequenced delivery plans, and clinically safe, testable solutions., • Make sound architectural trade-offs — simplicity vs flexibility, build vs buy, speed vs long-term maintainability — and document the decisions so others can follow them., • Own production outcomes: monitoring and alerting (e.g. Datadog), incident diagnosis, root-cause analysis, and durable fixes — not just shipping features., • Improve reliability and operability: failure handling, retries, idempotency, credentials/secrets, multi-tenant config, and safe rollouts across many production environments., • Contribute to Semble Connect and related automation — provisioning, connections, recipe/webhook patterns, and the product surfaces that expose them to practices., • Set a high quality bar through design reviews, thorough code reviews, automated tests (unit, integration, e2e), and pragmatic CI/CD improvements., • Mentor and unstick teammates; give clear feedback; help more junior engineers grow without becoming a bottleneck., • Influence the Ecosystem Experience roadmap and technical standards — surfacing risks early, proposing better approaches, and aligning stakeholders when requirements conflict. What We Are Looking For We’re looking for a senior fullstack engineer who enjoys messy real-world integrations as much as clean product UI — someone comfortable reading a partner OpenAPI spec in the morning and shipping a resilient production path by the afternoon. You should already be operating at a senior level: driving work independently, elevating those around you, and thinking beyond the ticket in front of you. Must-Haves • 5+ years' professional experience building production web applications with React and TypeScript, including substantial time operating as a senior / staff-of-one on complex features., • Strong hands-on experience with Node.js backends and APIs (REST and/or GraphQL)., • Proven experience integrating with third-party systems — APIs, webhooks, auth flows, retries, idempotency, credentials/secrets., • Ability to design systems, not just implement tickets: break down large problems, define interfaces/contracts, and leave codebases easier to change than you found them., • Comfort working in ambiguity — clarifying requirements, challenging weak specs, and driving decisions when information is incomplete., • A production ownership mindset: debugging complex issues across services, reading logs/metrics traces, and preventing the same incident twice., • Solid automated testing habits (unit/integration/e2e) and comfort with CI/CD; you know when to add coverage and when not to over-engineer., • Experience with NoSQL databases (MongoDB or similar) and cloud-hosted applications (AWS preferred)., • Strong written and verbal communication — RFCs/tech notes, partner discussions, and clear updates for Product and other engineers., • Collaborative leadership without needing formal authority: mentoring, reviewing thoughtfully, and aligning people around a plan., • Security and privacy awareness appropriate for handling sensitive healthcare data — least privilege, secrets hygiene, safe logging., • Comfort using AI coding tools to accelerate delivery without lowering the quality bar. Strong Pluses • Healthcare, HL7/FHIR, lab/pharmacy, or other regulated-domain integrations., • iPaaS / automation platforms (Workato or similar)., • Design systems / component libraries, and large monorepo experience., • Infrastructure as Code (Terraform / CDK), observability (Datadog or similar), and multi-tenant SaaS., • Experience leading technical delivery across multiple engineers or workstreams., • Playwright or Cypress e2e experience., • Bilingual English–French. What You’ll Get in Return • The great feeling coming with knowing you do something that matters: improving healthcare!, • £70,000–90,000 package, based on your experience and the value you can bring., • Autonomy and ownership — we’ll set the vision and share the context, then we trust you to run with things – that’s the reason we hire you!, • 36 days off: 25 holidays + bank holidays + 3 extra days (birthday and ‘feel good’ days) — that we will expect you to actually take so you can recharge and rest., • Company Equity — We appreciate and recognise all of our employees’ contributions, so everyone is eligible for Semble share options!, • Comprehensive health & wellbeing support — including private health insurance, and mental health support and free therapy sessions through Oliva., • Hybrid & flexible work environment — work from anywhere in the UK, with also some flexibility to work across Europe. You decide how much or how little you go to the office., • Get the tech you need — You will get the latest MacBook (unless you prefer Windows) and take your pick across a wide range of equipment to setup your home office ergonomically., • Work alongside an inspiring team — our two founders have started Semble after a successful startup exit, and your future colleagues are all knowledgeable and innovators in their field., • Fantastic office space in Central London, right outside Monument — with a roof terrace, weekly activities, loads of natural light, and cute doggies!, • The usual free bits coming with nice offices — barista coffee, tea, fruits, happy hours and activities...

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

SavvyMoney is a US based leading financial technology company. We provide integrated credit score and personal finance solutions to 1,600 + bank and credit union partners throughout the United States. The SavvyMoney solutions integrate with more than 43 digital banking platforms. SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company. Our company is growing and we are looking for Independent Senior Data Engineer Contractors to help support the growth. **This Independent Contractor will work 100% Remotely from your home office in Warsaw, Poland as part of a distributed team in the USA, Canada, Europe and several locations in India. We are growing our team and looking for a Lead ML/AI Platform Engineer. As a Lead ML/AI Platform Engineer at SavvyMoney, you will own the platform that takes machine learning from experiment to production — training infrastructure, model serving, inference pipelines, and the integration seams with our Java microservices. You will set technical direction for AI/ML across the company alongside our Data Platform Architect, and drive the engineering side of our GenAI/LLM and agent strategy — from retrieval architectures and evaluation harnesses to the guardrails required to run agentic workflows responsibly in a regulated environment. Partner with our Data Platform Architect to set technical direction for AI/ML across the company — architecture, tooling, standards, and build-vs-buy decisions. Own the ML/AI platform: training infrastructure, model serving, inference pipelines, and production integration. Feature engineering, model training, model registry, and hosted inference in Amazon SageMaker GenAI/LLM usage, fine-tuning, and agentic workflows in Amazon Bedrock and AgentCore Feedback and data pipelines built on AWS Glue, Lambda, and Step Functions Own the serving layer and integrate ML services cleanly with our Java microservices — define the API contracts and make the latency and throughput trade-offs. Drive the engineering side of our GenAI/LLM strategy: retrieval architectures, evaluation harnesses, serving patterns, and the judgment calls about which approach fits which problem. Bring depth on the emerging agent stack — MCP, agent workflow patterns, stateless and stateful designs, and the guardrails needed to run them responsibly in a regulated environment. Partner with our Data Scientist on the handoff from experimentation to production: productionize models, stand up the feature pipelines and serving infrastructure they need, and shorten the loop between training and deployment. Work with product, data, and engineering leadership to identify the highest-impact ML opportunities and translate them into roadmaps. Represent the AI/ML function in cross-functional forums, communicating trade-offs clearly to technical and non-technical audiences alike. Required 8+ years in software or ML engineering, including 5+ years shipping production ML systems and a track record of owning ambiguous, high-scope problems end to end. Demonstrated technical leadership: you've shaped the ML strategy of a team or organization, mentored senior engineers, and been the person others rely on for difficult architectural calls. Hands-on experience with both operating models we use: AWS managed ML stack: Amazon SageMaker (training, tuning, hosted endpoints, model registry), Amazon Bedrock, and AgentCore for GenAI and agentic workflows. Open-source ML tooling: JupyterLab for notebooks, Spark for distributed processing, MLflow for experiment tracking and model registry. Deep working knowledge of the AWS stack — S3, Athena, Redshift, Glue, Step Functions, Lambda — plus SQL skills strong enough to model data for both analytical and ML workloads. Production experience with GenAI/LLMs: RAG, prompt engineering, evaluation, and a clear grasp of the cost, latency, and safety trade-offs involved. Familiarity with vector databases (e.g., pgvector, Pinecone) and sound judgment on when they're warranted versus alternatives such as NoSQL retrieval. Working knowledge of Java sufficient to review service code, define API contracts, and debug integration issues with our microservices. Deep expertise in Python and the core ML stack: scikit-learn, pandas, NumPy, PyTorch and/or TensorFlow, XGBoost / LightGBM. Solid MLOps fundamentals — model monitoring, drift detection, reproducibility, experiment tracking, model registry, and cost observability — plus the ability to partner with DevOps on CI/CD rather than build it from scratch. Excellent written and verbal communication — you can write both the design doc that aligns a dozen engineers and the one-pager that aligns the exec team. Strong collaborator, comfortable operating in a role where scope is shared: you'll partner with a Data Scientist on models and DevOps on infrastructure, and you can navigate those seams while keeping clear ownership. Ability to operate as an independent contractor through your own entity or an approved contracting arrangement, with reliable overlap with US Pacific business hours for architecture reviews and cross-team work. Nice to Have Experience with ClickHouse or a comparable columnar / real-time analytical database. Fine-tuning experience (LoRA / QLoRA, instruction tuning, or RLHF). Streaming and real-time inference experience (Kafka, Kinesis, low-latency serving). Infrastructure-as-code (Terraform, AWS CDK, CloudFormation). Experience operating ML systems at meaningful scale — hundreds of millions of predictions per day, or equivalent. Open-source contributions, conference talks, papers, or patents in ML / applied ML. Data Scientist — leads feature engineering, model training, fine-tuning, and experimentation. You'll partner on the research-to-production handoff, stand up the infrastructure they need, and jointly own the quality of what ships. DevOps — owns CI/CD, deployment infrastructure, and platform observability. You'll partner on ML-specific extensions (model artifacts, reproducible environments, canary and shadow deployments) rather than rebuilding what already exists. Backend engineers — own the Java microservices that consume ML outputs. You'll define the contracts and own the serving side. Product and engineering leadership — you're the technical voice on what we should build with AI/ML, and how. Distributed processing: AWS Glue Orchestration: AWS Lambda, AWS Step Functions Managed ML: Amazon SageMaker, Amazon Bedrock, AgentCore Open-source ML: JupyterLab, Spark, MLflow Storage & query: Amazon S3 (data lake), Amazon Athena, Amazon Redshift, ClickHouse Languages: Python (ML, pipelines), Java (microservices) Why This Role Matters Credit data is the core of what we do, and the opportunity to make it smarter — better offer targeting, better personalization, better insight for 1,600+ financial institutions and the consumers they serve — runs directly through the ML platform. Today that platform is early. You will be the person who defines what it becomes. Your decisions on architecture, tooling, and evaluation will set the ceiling on what every ML-driven feature at SavvyMoney can do for years. Join us at SavvyMoney and help build the AI foundation of a platform trusted by 1,600+ banks and credit unions. Additionally we provide Equity Compensation Package Flexible Time Off (FTO) - take time off as needed to rest and recharge. Medical, Dental, Vision – 100% premium paid for employee Disability/Life Insurance Opportunity for learning and career growth with a top Bay Area technology company Reimbursement for remote work setup Monthly stipend for phone and internet Team building events, culture activities, all hands events Paid time off to volunteer and serve the community Half day Fridays 401k matching contribution Beautiful California East Bay offices in Dublin, CA SavvyMoney’s EEO Statement SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer. We are committed to protecting your data. To learn more, please review the_

About Uplisting What started in the UK in 2017 is now a fast-growing platform designed to be the go-to solution for hosts and operators who want to streamline their operations and unlock growth. From automated messaging to channel management, from task coordination to financial reporting, Uplisting gives users the reliability and simplicity they need to run professional, efficient, guest-ready businesses. Our mission is simple: to empower the next generation of short-term rental creators by providing flexible, user-friendly, and technology-driven tools that remove friction and spark innovation. Whether someone is managing their first property or scaling a portfolio, we’re here to help turn ambition into sustainable success. In 2023, Uplisting joined the AirDNA community, a collaboration that strengthens our ability to support hosts at every stage of their journey. By combining Uplisting’s powerful operational toolkit with AirDNA’s world-class market intelligence, we’re helping entrepreneurs make smarter decisions, grow faster, and operate with confidence across Airbnb, Vrbo, and beyond. The AirDNA team We’re a curious, driven, and kind group of humans who genuinely love what we do. Our values - Happy, Hungry, Honest - guide how we show up for our customers and for each other. Want to see what that looks like in action? You’ll get a feel once you meet us. We welcome applicants from all backgrounds and encourage you to apply even if you don’t check every box. Passion, potential, and perspective matter here. Together, we’re building a complete ecosystem for short-term rental success - from investment to day-to-day operations. The Role We’re looking for a Fullstack Software Engineer. Join a team modernizing Uplisting's core product. You'll ship end-to-end features that measurably improve the day to day for hosts and property managers, help migrate our front end from Ember to React, and strengthen the connection between Uplisting's operations platform. • Ship production-ready code across the full stack, from API and data layer to UI., • Collaborate on the upcoming migration from Ember to React., • Diagnose and fix scaling, performance, and reliability issues on our platforms., • Own features end-to-end. From pitch to production., • Set the bar on code quality through reviews, testing standards, and clear documentation., • Mentor engineers on React best practices and help shape our technical roadmap., • Use AI tools to speed up your own work and share what works with the team., • Work on Partner integrations with large companies such as AirBnB, Booking.com, VRBO, • 4+ years of professional full stack experience shipping and operating production systems., • Strong React and TypeScript skills, plus solid back-end fundamentals (APIs, data modeling, relational databases)., • Hands-on experience with testing, CI/CD, and basic observability (logs, metrics, alerts)., • A track record of working on/leading non-trivial migrations or modernization work on a live product., • Clear written and verbal communication skills - you can explain trade-offs to engineers and non-engineers alike., • Practical, daily use of AI tools in your workflow, with the judgment to verify what they produce., • Experience with Ember.js or migrating front-end frameworks, or a polyglot with Front End frameworks., • Background in short-term rental, property management, travel, or hospitality tech., • Experience operating multi-tenant SaaS at scale, including performance tuning., • Familiarity with AWS, Heroku, containers, and infrastructure-as-code., • Prior experience formally mentoring other engineers., • Familiarity with the Shape Up methodology, • Ruby (Hanami), • Ember JS, • PostgresQL, • AWS, • Heroku, • Typescript, • React Native, • Terraform, • Any hire made outside of Spain would be a full-time contractor. Benefits for remote UK contractors include:, • OTE salary range: 50,000 - 65,000 GBP (yearly), • Flexible remote environment, • Continuing education stipend, • Language lessons with Preply (French-Italian-Spanish), • A friendly, collaborative team that values clear communication, • Opportunities for growth, mentorship, and learning new technologies, • A mission-driven product with real user impact, • First stage: Virtual interview with the People Team + Hiring Manager (30min), • Second stage: Tech test, • Final stage: Meet the General Manager + Hiring Manager (Online - 30min), • Post-offer / Pre-employment: Reference and employment verification check, • Ideal start date: Q2 2026 £50,000 - £65,000 a yearAirDNA seeks to attract the best-qualified candidates who support the mission, vision and values of the company and those who respect and promote excellence through diversity. We are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race, color, creed, religion, sex, age, national origin, citizenship, sexual orientation, gender identity and expression, physical or mental disability, marital, familial or parental status, genetic information, military status, veteran status or any other legally protected classification. The company complies with all applicable state and local laws governing nondiscrimination in employment and prohibits unlawful harassment based on any of the aforementioned protected classes at every location in which the company operates. This applies to all terms, conditions and privileges of employment including but not limited to: hiring, assessments, probation, placement, benefits, promotion, demotion, termination, layoff, recall, transfer, leave of absence, compensation, training and development, social and recreational programs, education assistance and retirement. We are committed to making our application process and workplace accessible for individuals with disabilities. Upon request, AirDNA will reasonably accommodate applicants so they can participate in the application process unless doing so would create an undue hardship to AirDNA or a threat to these individuals, others in the workplace or the company as a whole. To request accommodation, please email _. Please allow for 24 hours to process your request. By applying for the above position, you will confirm that you have reviewed and agreed to our _.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

_ is a fast-growing medical device software company headquartered in Bern, Switzerland. Our mission is to enable the right decisions sooner in healthcare, through transformative AI & data management solutions for disease screening and monitoring. Join our diverse team of entrepreneurs, developers, researchers, and commercial experts who are collectively shaping the future of healthcare. We are looking for a Cloud Engineer to join our team, where you will play a critical role in optimizing our cloud infrastructure to meet our customers’ needs. This position is pivotal to our mission of providing a seamless, secure, and scalable experience on our platform • Enhance and maintain highly available, secure, and scalable AWS cloud environments and services., • Manage and prioritize tasks in the cloud infrastructure backlog to address immediate needs and plan long-term improvements., • Set up infrastructure monitoring and observability solutions, proactively addressing availability, performance or security issues., • Learn the current infrastructure and take ownership of day to day cloud operational tasks and activities., • Assess new technologies, systems, and services for production readiness, ensuring seamless and stable integration., • Prepare and maintain documentation on cloud processes, procedures, and architectures to ensure clear understanding and team-wide knowledge., • Apply AWS Well-Architected Framework principles to evaluate and optimize our current infrastructure., • Contribute in out of office hour cloud deployments once or twice a month, • Conduct POCs (proof of concepts) on new AWS services, third-party tools, and technologies to drive continuous improvement in our infrastructure., • A demonstrated entrepreneurial and collaborative mindset with a proactive approach to problem-solving., • A university degree in Computer Science, Information Technology, or a related field., • 3-5 years of hands-on experience with AWS cloud services in a professional setting., • Proficiency with core AWS services, including IAM, S3, KMS, RDS, VPC, ECS, EC2, and more., • Experience working with multi-account and multi-region AWS production environment setups and using IaaC to manage them., • Strong hands-on experience with Infrastructure as Code (IaC) tools, preferably Terraform., • Scripting experience with one or more languages, such as Python, Bash, or Node.js., • Good knowledge of cloud security principles and services, such as AWS WAF, GuardDuty, Config and CloudTrail., • Familiarity with CI/CD pipelines and tools preferably GitLab, • Experience with software version control and Git., • Strong understanding of cloud networking concepts, including VPC, VPC Peering, Subnets, and Load Balancing., • Familiarity with monitoring and observability tools for cloud environments, such as Grafana, Prometheus, OpenSearch, and the ELK stack., • Strong analytical and problem-solving skills, with a proactive approach to challenges., • A genuine interest in staying updated with new AWS services and features, integrating advancements into the cloud environment., • Ability to work well in a flexible, startup environment, taking initiative to establish new processes when necessary., • Excellent verbal and written English communication skills., • Good listening skills., • Familiarity with industry best practices in cloud architecture principles., • Ability to work independently and collaboratively within a team setting., • Availability to work during Central European Time (CET) business hours. What We Offer • A chance to be part of an exceptional team driving innovation in healthcare., • A competitive salary in a supportive work environment that fosters work-life balance., • Opportunities for professional growth and development in an international setting., • A culture of collaboration and inclusion, which is fundamental to our ethos., • Occasional travel to our HQ in Switzerland, immersing you in our core operations and company culture.

THE ROLE 📝 At Form3, our mission is simple but powerful: To design, build and run the technology that will power the future of payments. As a Senior Software Engineer, you will be part of a team working on the critical infrastructure that underpins global payments. This is a rare opportunity to help shape the systems that move money at scale both securely, reliably and in real time. WHAT YOU’LL BE DOING 🏗️ • Designing, building, and running cloud-native microservices in Go that are the backbone of our real-time payments platform, • Building systems that are highly available, low-latency, and scalable, handling billions of payment requests with precision and resilience, • Taking full ownership of services: from initial design and implementation to deployment and production support, • Working with a mindset where cost-efficiency, observability, and operational excellence are core to how we build, • Collaborating closely with other engineers in a flat, autonomous team structure, with a strong focus on code quality, simplicity, and continuous improvement, • Working with modern tooling and technologies such as Golang, Kubernetes, CockroachDB and NATS JetStream in a highly automated DevOps environment WE’RE LOOKING FOR 🔍 • Deep understanding of designing and building distributed systems, • Enjoys working on complex challenges within critical software where high performance and robustness are essential, • Familiarity with cloud and containerisation technologies, test automation tools and CI/CD pipelines, • Interest in owning projects end-to-end and supporting them as they go live in production, • Appreciation of clean code and software engineering best-practice, • Experience with Go, along with a “right tool for the job” mentality, • Great communication skills who enjoy sharing knowledge and collaborating with others TECH STACK ⚙️ Here are a few of the tools and methodologies we utilise: • Infrastructure: AWS, GCP, Azure, Kubernetes, • Platform: CockroachDB, NATS JetStream, Elasticsearch, Vault, Cilium, • Tools: Terraform, Flux, GitHub, Prometheus, Pact.io, Tilt, • Code: Go (and a little Java), containerised microservices, CQRS, open source, • Ways of working: TDD/BDD, Pair Programming, 100% remote, SecDevOps THE TEAM 👥 At Form3, our engineering team is the backbone of everything we do. A remote first group of highly skilled, collaborative, and forward-thinking individuals passionate about building secure, scalable, and reliable payment technology. We operate in a true DevOps model, where engineers take full ownership of the software lifecycle, from design and implementation to deployment and operation in production. We value clean code, automation, simplicity, and continuous improvement. Our engineers work in small, autonomous teams with a flat structure and minimal bureaucracy, promoting a culture of trust, transparency, and accountability. We use modern technologies (Golang, Kubernetes, AWS, and more) and embrace a cloud-native, event-driven architecture to support our microservices platform. Expect a culture of knowledge sharing, where pull requests are thoughtful conversations, and technical decisions are made collectively and with care. If you're motivated by solving complex problems at scale and enjoy working with other talented engineers who care deeply about doing things right, you'll feel right at home here. INTERVIEW PROCESS ✍️ Stage 1: Screening call with Talent Team Stage 2: Take home test Stage 3: Technical interview Stage 4: Team interview We always aim to stick to the above process, however there may be occasions when an additional interview stage is needed for us to be sure we find the best fit for the role! HIRING LOCATIONS 📍 We can accept applications from the following countries; Germany, Netherlands, Spain, Portugal & UK ABOUT FORM3 💭 Revolutionising the world of payments with our cutting-edge technology and innovative solutions. For more information about Form3, check out the following pages: | | | | _ OUR DEI&B COMMITMENT We hire talented people from a variety of backgrounds and experiences and are committed to a work environment based on diversity, open-mindedness and curiosity. We’re united by our company values (we even created them together!) and we celebrate our unique differences. Our employee lifecycle processes are designed to embrace equal opportunity and prevent discrimination against our people regardless of personal characteristics. It is our strong belief that the more inclusive and belonging we are as a business, the better our work will be. As an inclusive employer, we guarantee to interview all neurodiverse and physically disabled applicants who meet the minimum criteria for this role. We also encourage candidates to notify us of any reasonable adjustments that may be required during the recruitment process. This includes providing job adverts in alternative, accessible formats or adjustments required at interview stage. If you consider yourself to be neurodiverse or physically disabled under the UN definition of disability and would like to be considered under this scheme and/or require any reasonable adjustments please let us know by sending an email to clearly stating your consent for us to process this data. For more information please refer to our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time. The Opportunity: As a Mimir Engineer you’ll join one of two sub-squads, Ingest or Query, that together maintain the open source _ and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes. Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms. What You’ll Be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system What Makes You a Great Fit: • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points For: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

At The Multiplayer Group (MPG), we create world-class multiplayer experiences through Co-Dev and Full-Dev partnerships. Our people-first culture supports a diverse, global team in a welcoming and flexible work environment. With teams spread worldwide, we prioritise connection—both online and in person. Giving back is central to who we are, with a focus on local communities, education, and sustainability. We are looking for a highly experienced, fully remote Principal Backend Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG to drive the delivery and deployment of backend services for industry-leading game projects. You will act as a key engineering contact for external co-dev clients, collaborating with the Technical Director and Lead to architect solutions that balance technical idealism with production pragmatism. You will define the technical architecture for major game titles, ensure implementation quality, and mentor the engineering team. • Experience in game development and having shipped multiple live games (or similar products) with a high concurrent user count, • Proven experience architecting distributed applications with a high concurrent user base (hundreds of thousands), ideally proven with a released title or robust load tests, • Production experience with at least one of Java, Golang, C#, C++, Kotlin; experience with Python, Node.js and React is desirable, • Solid database experience, with the ability to work effectively with both SQL and NoSQL databases, • Proven experience with cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Professional level) would be advantageous, • Proven experience building backend infrastructure using infrastructure as code tools, e.g. Terraform, • Proven experience using Kubernetes and Docker to build products at scale, • Ability to autonomously architect and design online services based on a specification, • Ability to navigate changes calmly and manage multiple pieces of potentially confidential information, • Excellent time management and ability to work autonomously, • Clear and effective communicator with the ability to discuss technical strategy with non-technical stakeholders and adapt to client needs, • Experience building CI/CD pipelines from scratch or improving existing client solutions, • Awareness of security/cheating implications of technology choices, • Experience using Gen AI for code generation Beneficial • Deep expertise in at least one relevant area of backend technology, e.g. DevOps, Microservices, Cloud Architecture, • Understanding of how a backend service integrates with the game - experience with Unreal or Unity would be useful but not required, • An understanding of how to use LLMs to process and query structured and unstructured data Responsibilities • Individual contribution: architect systems, write code, deployments, etc., • Act as the engineering contact point between MPG and the client, working alongside the Project Manager and Engineering Leadership, • Translate client requirements into tasks for yourself and team members, • Make the right trade-offs to design systems based on performance, time, and budget, • Mentor and delegate pieces of work to other team members to help develop them as engineers, • Create estimated cost spreadsheets for online services based on projected concurrent users, • Cultivate engineering best practices across teams: modular design, code quality, testing, • Work with the Lead and Production to communicate risks, benefits, and future roadmaps, • Active mentorship of the engineering team towards professional accreditation (e.g., AWS Certification) and technical leadership. Our Benefits Flexible working: Remote-friendly long before it was the norm, with core hours that support both great work and real life. Support & wellbeing: Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported. Pension & life cover: A strong pension plan and life insurance to support your future and protect your family. Time for you: Minimum 25 days’ holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about. Parental leave: Family-first policies that support parents and caregivers with flexibility and balance. Levelling up: Annual L&D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career. Role Information: EN Studio: The Multiplayer Group Location: Europe, United Kingdom Area of Work: Game Development Service: Create Service Type: Code Employment Type: Permanent Fully Remote Working Pattern: Full Time Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavor to create a workplace which provides for equal opportunities for all employees and potential employees. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy _.

The role We encourage collaborative engineering practices rooted in Extreme Programming (XP) such as pair programming, making overlap with our UK-based engineers highly preferable (GMT+0 to GMT+2). We are a market-leading nature tech company on a mission to make nature measurable and actionable at scale. Our platform delivers vital insights on species, habitats, and nature-related risks, helping businesses across sectors - from mining and renewable to CGS and financial services - make smarter, more sustainable decisions. As global leaders in biodiversity monitoring and eDNA analysis, we are transforming how nature is measured. Our technology makes biodiversity insights accessible, actionable, and scalable, powering change from conservation to industry. Recognised as Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, World Economic Forum Technology Pioneers 2024, and part of the TechNation Future Fifty 2025, we are shaping the future of how organisations understand and protect nature. We are looking for an experienced full-stack Product Engineer to join our collaboration-first product engineering team. You'll join a team of seasoned engineers delivering end-to-end features across the entire stack that powers our transformational biodiversity platform. You won't just be writing code; you will be solving user problems, shaping the roadmap, and taking features from an initial concept through to a live product. Design, build and scale geospatial systems. Collaborating with domain experts across Engineering, Product, Data, Bioinformatics and Nature Strategy, you will translate complex requirements into seamless user experiences. You will help define and run experiments, practice rigorous iteration, and incrementally enhance our ability to build and evolve systems that store, compute and visualise geospatial and other nature-related datasets such as eDNA and bioacoustics. Influence technical strategy and make decisions in ambiguity. You will drive foundational work across product and engineering, helping our teammates navigate various data engineering challenges, guiding technology choice and adoption of best practices. This includes designing and delivering scalable, cloud-based systems and leveraging AI to accelerate development. Contribute to the sustainable delivery of quality software. You will produce well-tested, maintainable code across infrastructure, backend and frontend — using Go or Python on the back-end and React and TypeScript on the front-end — balancing quality with impactful velocity, through both pair programming and peer-reviewed development. Champion engineering fundamentals. You will help the team continually raise the bar through code review, open discussion, and by leading by example. When we move fast and keep scope lean, it's the scope that shrinks, rather than the quality. Support our customers. We believe in owning what we build. You will help define what success looks like for the features you ship, setting the right targets, alerts, and thresholds to catch problems before our customers do. You will participate in an on-call rotation to support issues as they arise, and actively work to reduce the repetitive, manual toil that slows the team down and limits our impact. Support our teammates. You will have ample opportunities to mentor other engineers as they build their skills and experience. You'll do so through pair programming, code reviews, daily communication with your team, giving and receiving thoughtful feedback, and helping your teammates grow. You have a strong sense of what good engineering looks like and can articulate and coach that, helping the team build not just their technical skills, but their engineering instincts. About you What you'll bring A love of nature. We are mission-driven, with a deep affinity for the protection of biodiversity and natural systems. To make hard things happen, our team puts mission over ego. You find purpose not only in your own growth but in stopping climate change and biodiversity collapse. Experience with scalable data processing. You have led the design and implementation of concurrent, scalable and reproducible data workflows, are familiar with the challenges of data-intensive systems, and can advocate for best practices across pipelines and distributed compute. The systems you build enable rapid feature development without accumulating the debt that slows teams down. Familiarity with geospatial concepts. You may not be a geospatial expert, but you're comfortable discussing the differences between vector and raster data and applying these to the design of geospatial data pipelines and storage. A strong sense of collaborative teamwork. You believe that the best outcomes come from working closely together, not just splitting tickets and syncing up at standup. Through pairing, shared ownership, and genuine investment in your teammates' growth, we deliver better software, spread knowledge more effectively, and build a team where everyone can do their best work sustainably. You act as a bridge between technical and non-technical stakeholders, bringing clarity to requirements and trade-offs, and helping everyone move in the same direction. Technical fluency across the stack. You are comfortable working across the full stack, from back-end data pipelines and APIs through to intuitive, responsive front-end interfaces. You go where the work is, not where your comfort zone is, and you care about the experience as much as the implementation. Comfortable supporting production software. You have experience shipping to production, investigating and triaging issues in deployed code, and have opinions about making on-call an effective and positive experience. When you ship, you ship with confidence, delivering tangible value and keeping the team moving forward. An adaptive and curious mindset. You are comfortable pivoting in response to new insights and don't wait to be pointed at problems. You proactively identify opportunities for improvement and take ownership of driving them forward, because you care about the product, not just your slice of it. A focus on customer value. You will look beyond the ticket and have the experience to keep things simple, revisit scope, and work in small iterations — never losing sight of the problem you were meant to solve. You are interested in how customers use the platform and are willing to iterate rapidly based on feedback and usage data. Clear and open communication. We consider clear and thoughtful communication a fundamental engineering skill and a strong predictor of future impact. You demonstrate this in your contribution to documentation, collaborative problem-solving, and willingness to give and receive feedback. Don't hesitate to apply despite only ticking some of these boxes. Our strength is in our diversity, and we look for individuals who bring something new to the team, whether it’s background, skill, or perspective. Though we are on the lookout for a Senior engineer, a pathway to Staff level exists for engineers who are willing and able to take on the responsibilities and expectations that come with it. We recommend discussing this pathway with the Head of Data and Engineering and Lead Software Engineer during the interview. What's in it for you Get up every morning knowing that you’re working to stop climate change and biodiversity collapse Competitive Salary Flexible work arrangements Opportunities for professional growth in a high-scaling tech environment. Benefits package (for those UK-based, international benefits will vary) including salary sacrifice pension scheme prioritising sustainability; life assurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy; £250 L&D budget to use on our Learning platform, Learnerbly. Why us? At NatureMetrics diversity and inclusion are part of our DNA. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us to the communities we work with. Our values leave no space for stereotypes. We are all unique and pull together for a common purpose. About us Backed by ambitious investors, we're on a mission to make biodiversity measurable at scale to underpin global goals and accelerate finance into nature. NatureMetrics combines tech and AI to derive simple insights from the full complexity of nature on the ground. We're a dynamic team passionate about nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey!

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ London or UK Remote | £105,000 - £135,000 + Incentive Awards tied to your performance + | _ - Engineering About our Engineering Teams: We have around 400 engineers across Monzo who design and build our in-house banking platform. We have big ambitions for the future, and technology plays a big role in creating a bank our customers want, so engineers at Monzo collaborate across disciplines to solve interesting challenges throughout the company. These range from the products our customers use everyday to underlying infrastructure, security, payments and finance, customer operations, financial crime, and data, to name just a few areas. As a bank, there is scope for impact across a huge number of opportunities. We contribute to as much as possible. Our is a good place to learn even more about what we do! Your day-to-day This role is all about collaborating with your team to make a difference to your customers. As a backend engineer you’ll work in a squad alongside other disciplines like product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! Together you'll build and support a particular part of Monzo. Our squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are: Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront- from fighting financial crime to building smarter financial tools - and you may have the opportunity to join a collective that gives you direct exposure to this exciting space. They’re all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles. How we work Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. We value meeting in person but we don't have a mandated requirement on office attendance, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays ️ Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life: At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency ✨ If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Work the way that works for you with Monzo! You should apply if: • you have strong experience working on the backend of a technology product, • you want to be involved in building a product that you (and the people you know) use every day, • you have a product mindset: you care about customer outcomes and you want to make data-informed decisions, • you’re comfortable working in a team that deals with ambiguity, • you’re interested in distributed systems and writing resilient software, • you have some experience with strongly-typed languages (Go, Java, C, Scala etc.)., • you think you’d enjoy the kind of work we’re doing We're on the look out for L50 Engineers at the moment, you can read more in our _- we will interview you across the whole frame work, so if you are not sure what level you are aiming for please chat to your recruiters! Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you! What you’ll be working on: We hire very technically agnostic so whilst we use the below technologies we do not expect prior knowledge, you will be fully supported in our organised onboarding to get up to speed in the below: • to write our application code (there’s an excellent interactive Go tutorial ), • _ for most persistent data storage, • _ for our asynchronous message queue, • and to schedule and run our services, • _ for RPC, • for most of our production infrastructure and for most of our data infrastructure, • React for our public web apps and internal tools, • We also have physical datacenters with actual cables to connect to various third parties The Interview Process: Our interview process involves three main stages: • Initial Call, • Take home task or pair coding exercise, • Final interview: including a system design and a behavioural interview Our average process takes around 4 weeks but we will always work around your availability. One of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see _. What’s in it for you: £105,000 - £135,000 + Incentive Awards tied to your performance ✈️We can help you relocate to the UK ✅We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits _ We're usually always hiring for Backend Engineers, so there's no closing date for this job. #LI-Remote #LI-HJ1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2026 and 2025 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems and working in highly ambiguous problem spaces. Software Engineer About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. We are hiring Software Engineers to accelerate our mission. About The Role: At KoBold, software engineers have the unique opportunity to embed directly with their users and learn the ins and outs of mineral exploration and geology while developing state of the art technology solutions. Unlike traditional software engineering roles, we don’t simply ship code and passively wait for feedback about its utility: our userbase includes our colleagues… and ourselves! While there are real technical challenges in making mineral exploration data broadly searchable and accessible to both humans and machines, we believe that solving these technical challenges cannot be done without “getting our hands dirty” – sometimes literally! – by embedding directly with the exploration teams and even occasionally (~once a year) joining our colleagues in the field, be it in Zambia, Canada, or Arizona, to experience the impact of our software in real time. As a Software Engineer on the Data Systems Engineering team at KoBold, your main role will be to enable systematic exploration and materially improve exploration success rates by making mineral exploration data broadly accessible to humans and machines. Past projects have included SIP (the Structured Ingest Pipeline), DataKit generation (producing curated sets of data on demand), and RAG (Retrieval Augmentation Generation, utilizing natural language processing on unstructured data). Our tech stack is primarily python and includes Django, React, AWS, and additional technologies like Retool and Prefect. Your work will empower KoBold to unlock invaluable insights and streamline intricate scientific processes. Collaborating with our exceptional team of data scientists, geologists, and other software engineers, you will have the opportunity to tackle complex problems head-on and collectively pave the way for the discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world. This role be responsible for: • Deep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists, • Building data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery, • Developing expertise in KoBold’s Data Systems and deeply understanding how they impact exploration, • End-to-end ownership of projects from design to implementation and testing to continued engagement with colleagues on exploration teams using your solutions, • Responding well to design and code feedback, also providing feedback to teammates, • Operationally managing the team’s services and assisting scientific colleagues with our tooling Qualifications • 4+ years of software engineering experience, ideally building production cloud data systems, • Proficiency with Python, • Ability to write production-quality code that is correct, readable, well-tested, scalable and extensible, • Skilled in large-scale system design, • A track record of taking ownership from definition of the problem and delivering projects with demonstrated impact in an iterative manner, • Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field., • Ability to explain technical problems to and collaborate on solutions with domain experts who are not software developers. A strong communicator who enjoys working with colleagues across the company., • Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities., • Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Nice to Haves • Experience with modern frontend frameworks such as React, • Experience with geospatial data and building map-based experiences, • Familiarity with containerization and container orchestration platforms, such as Docker, AWS ECS, Kubernetes, etc., • Formal education or job exposure to natural sciences The UK base salary range for this full-time exempt position is $120,000 - $210,000 USD. Location: Remote, Candidates can be located anywhere in the United Kingdom. _

Description We’re looking for a Senior Software Engineer who thrives on turning ambitious ideas into production systems that delight developers and deliver real business impact. You’ll work across the stack, from backend APIs and orchestration to SDKs, dashboards, and developer tools. You’ll take ownership from start to finish, understanding user needs, designing elegant solutions, and delivering outcomes that make building with AI faster, simpler, and more creative. You’ll collaborate across the company to build systems that are robust, performant, and a joy to work on. This role combines technical depth, product intuition, and leadership, making it ideal for engineers who want to shape both how things are built and why they matter. You are motivated by impact. You thrive on transforming complex AI systems into products that developers love to use. You think holistically about architecture, user experience, and business outcomes, and you take pride in delivering systems that are both elegant and dependable. You are equally comfortable designing APIs, building scalable backend services, and improving developer-facing experiences. You set a high bar for quality, mentor others to reach it, and drive alignment between product ambition and technical reality. • Lead the design and implementation of core systems powering Runware’s AI platform, • Build and evolve backend APIs, SDKs, and developer tools that make AI integration seamless, • Integrate and optimise image and video models while supporting new modalities such as audio and custom LLMs, • Architect scalable, reliable systems for inference orchestration and workload optimisation, • Partner with platform and infrastructure teams to drive performance, reliability, and observability improvements, • Shape technical direction through architectural discussions and long-term planning, • Mentor engineers through code and design reviews, fostering technical excellence and growth, • Contribute to documentation, tooling, and SDKs that enhance the overall developer experience, • Drive initiatives that improve how we build, deploy, and maintain our platform Requirements • Deep experience building distributed and high-performance systems, • Strong programming skills in PHP or Go, • Proven track record of designing and delivering scalable backend systems and APIs, • Understanding of asynchronous workloads, queues, and streaming data, • Experience working with cloud and bare-metal infrastructure, • Excellent grasp of system design, performance optimisation, and scalability principles, • Clear communicator who leads technical projects and collaborates effectively across teams, • Passionate about mentoring others and raising engineering standards, • Proactive problem-solver who balances short-term progress with long-term vision, • European time zone Benefits We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap. • Generous paid time off – vacation, sick days, public holidays, • Meaningful stock options – share in the upside you create, • Remote-first setup – work from home anywhere we can employ you, • Flexible hours – own your schedule outside core collaboration blocks, • Family leave – paid maternity, paternity, and caregiver time, • Company retreats – twice-yearly gatherings in inspiring locations

BI Analyst About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Data Analytics & Business Intelligence Location: WeWork HQ Waterloo (London) - Hybrid (At least once per week) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits As our Business Intelligence Analyst, you will be the engine of the team's reporting layer, the person who makes trustworthy data accessible to the whole business. You will turn well-designed analyses into dashboards people rely on every day, own the accuracy and upkeep of our reporting, and be the responsive first point of contact for the questions stakeholders need answered quickly. You'll work closely with the Senior Data Analyst on the analytical side and the Analytics Engineer on the modelling side, taking increasing ownership of dashboard design and development over time. • Build and maintain dashboards and reporting: Develop dashboards in Looker — bringing to life the insight-driven designs shaped with the Senior Data Analyst — and own their ongoing accuracy, maintenance, and iteration., • Own recurring reporting: Run and improve the team's regular reporting cadence, making sure numbers are consistent, timely, and clearly presented., • Be the responsive front door: Handle standard ad-hoc analytical requests, giving stakeholders quick, reliable answers and routing deeper questions appropriately., • Keep the business self-serving: Own the consumer-facing data dictionary and documentation so stakeholders can find and trust the metrics they need., • Work within the semantic layer: Build on the LookML models and semantic layer owned by the Analytics Engineer, following and helping refine reporting conventions and standards., • Safeguard data quality: Spot inconsistencies in reporting and flag issues upstream so they get fixed at the source., • 3+ years of experience in a data or BI analyst role, with a track record of delivering reporting and dashboards that the business relies on., • Strong SQL for querying and shaping data, and confidence working independently across a data warehouse., • Hands-on experience building and maintaining dashboards in Looker (or a comparable BI tool such as Tableau or Power BI), with a good eye for clear data visualisation., • Strong attention to detail and a genuine care for data accuracy., • Clear communication with business stakeholders, and the ability to translate a request into the right report. You’ll stand out if you have • Google Cloud Platform (GCP), especially BigQuery., • LookML development., • Python for data manipulation and automation., • Exposure to transformation tooling (dbt / Dataform)., • Curiosity about statistics and experimentation, a natural growth path toward the Senior Data Analyst track., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

What Makes Cloudbeds Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024, but we're just getting started. Location: Remote (Europe) How You'll Make an Impact: As a Staff Software Engineer in Revenue Intelligence, you will shape the technical direction of systems that help hospitality businesses understand demand, identify revenue opportunities, and make better pricing and commercial decisions. You will work across customer-facing applications, backend services, data pipelines, analytical stores, recommendation workflows, and cloud infrastructure. This is a hands-on leadership role: you will solve complex engineering problems directly while establishing architecture, improving reliability and security, reducing systemic technical debt, and aligning multiple teams around durable technical decisions. Your impact will extend beyond individual features to the quality, scalability, operability, and long-term evolution of the Revenue Intelligence platform. Our Revenue Intelligence Team: The Revenue Intelligence team builds products and platforms that turn hospitality data into practical decisions for hoteliers, including pricing recommendations, demand insights, reporting, automation, and commercial opportunities. Our systems span frontend experiences, APIs, distributed services, data processing, machine-learning workflows, and production infrastructure. We value pragmatic engineering, strong ownership, evidence-based decisions, and technical leaders who raise the effectiveness of the people and systems around them. What You Bring to the Team: • Set and evolve the technical strategy for Revenue Intelligence, translating product and business goals into coherent architecture and executable engineering plans, • Lead the design and delivery of complex capabilities across customer-facing web applications, backend APIs, event-driven services, data pipelines, analytical storage, and recommendation workflows, • Identify and resolve systemic risks in scalability, reliability, security, data quality, observability, and operability before they become recurring customer or engineering problems, • Drive modernization of legacy systems and infrastructure through incremental, well-reasoned migrations that preserve delivery momentum and production stability, • Partner with Product, Data Science, Infrastructure, Security, and engineering leaders to define boundaries, contracts, ownership, and long-term platform direction, • Remain hands-on in the codebase through implementation, technical spikes, design reviews, debugging, incident response, and the most consequential or ambiguous engineering work, • Raise the technical effectiveness of the wider organization through mentoring, architecture guidance, engineering standards, documentation, and constructive challenge What Sets You Up for Success: • 10+ years of software engineering experience, including significant technical leadership across complex production systems, • Deep hands-on expertise in Python, with the ability to work effectively across both ecosystems and guide engineering decisions beyond a single language, • Strong architecture and distributed-systems fundamentals, including API design, event-driven workflows, consistency, failure handling, scalability, and service boundaries, • Experience with data-intensive systems such as PostgreSQL, Redshift or similar analytical platforms, batch and streaming pipelines, and large-scale data processing, • Experience designing or operating recommendation systems, machine-learning platforms, pricing systems, experimentation workflows, or other decision-support products, • Strong cloud and platform engineering experience across AWS, containers, Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability, and secure production operations, • A demonstrated ability to lead through influence, create alignment across teams, communicate complex tradeoffs clearly, and drive decisions from ambiguity to execution, • A strong record of improving engineering quality through testing strategy, operational readiness, incident learning, security, documentation, and sustainable technical standards, • Product judgment and customer empathy, with the ability to connect technical investments to measurable outcomes for hoteliers and the business, • Business-level English fluency and experience collaborating effectively in a remote, globally distributed organization Bonus Skills to Stand Out: • Deep hands-on expertise in .NET/C# What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it, and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at _ Company _: • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice (2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits: • Remote First, Remote Always, • PTO in accordance with local labor requirements, • Monthly Wellness Fridays - enjoy an extra-long weekend every month, • Fully Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University, • Access to professional development, including manager training, upskilling and knowledge transfer Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard-of-hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at _. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE

Hello 👋 Bring your strengths. Raise the bar. Shape the future. We’re looking for a high-performing Senior Full Stack Engineer to join our team and help us build the future of Matomo — the world’s leading open-source web analytics platform that empowers users with full data ownership and built-in privacy. This is more than a coding role — it’s an opportunity to tackle complex challenges at scale, work with a talented and driven team, and help shape how we do engineering as we grow. You'll be working in the heart of our platform — contributing to our core application and plugin ecosystem — and making a meaningful impact on hundreds of thousands of users worldwide. If you thrive in large codebases, get energy from solving hard problems, and are excited by the chance to bring your ideas, passion, and expertise into a high-impact environment, we’d love to hear from you. Roles and Responsibilities 🚀 Engineering Excellence • Design, develop, and maintain robust, secure, and performant software at scale. - Solve tough, technical problems that matter — from performance bottlenecks to architectural improvements. - Navigate and contribute to a mature, complex codebase — and leave it better than you found it. - Write clean, well-tested, maintainable code that your future self and teammates will thank you for. - Share your expertise through code reviews, pairing, and mentoring. Product Collaboration • Work hand-in-hand with product managers and designers to deliver value that delights users. - Challenge assumptions, refine ideas, and bring an engineering perspective to product discussions. - Influence the roadmap by identifying impactful technical opportunities and trade-offs. - Stay close to the “who” and the "why" behind what we build — not just the "what." Shaping Our Growth • Be a culture and quality multiplier — bring energy, curiosity, and a drive to raise the bar. - Help evolve how we work — improving our engineering practices, processes, and standards. - Take initiative in shaping solutions, identifying risks early, and driving delivery forward. - As our company grows, you’ll help define what great engineering looks like at Matomo. About InnoCraft and Matomo 📊 At _, we’re building a more ethical, privacy-first digital world. As the leading open-source web analytics platform, Matomo powers over 1 million websites and apps in 190+ countries, offering organisations the insights they need while maintaining full data ownership and user trust. In Germany, Matomo is particularly popular with public institutions, universities, and companies that take GDPR compliance seriously. As part of our long-term growth, we are expanding our established Europe-based engineering team to support Matomo’s increasing adoption by enterprise and public-sector organisations across Europe. We believe in openness, privacy, and transparency. Every month, our platform processes billions of data points — transforming complex information into intuitive, powerful reports that delight users. Matomo is available in 50+ languages and supported by a global, fully remote community with strong hubs in New Zealand, Germany and France. If you are interested you can take a look at our Github here: _ Why Matomo 💡 • Privacy-first: Ethical analytics built around GDPR and user trust. - Open Source: Shape a platform used in 190+ countries. - Global team: Work with colleagues across Europe, New Zealand, and Canada. - Established & Growing: Profitable and self-funded, with double-digit growth for 5+ years and a steadily expanding global team. - Fully Remote: 100% work-from-home within Ireland, with flexible hours. - Career Growth: Clear Engineering Career Development Framework supporting skill progression and leadership growth. - High Calibre Team: Join a collaborative group of experienced engineers focused on innovation and impact. - AI-Empowered Development: Use AI tools and practices to accelerate experimentation, development, and quality. Minimum qualifications 🤓 • You have 8+ years’ experience in software engineering, including full-stack development. - You’re highly competent in PHP and JavaScript, and not afraid of diving deep into a large legacy codebase. - You bring a structured approach to solving complex problems, and thrive in systems with many moving parts. - You’re passionate about building products and not just writing code — you want your work to have real impact. - You’re thoughtful, pragmatic, and care deeply about quality, user experience, and craftsmanship. - You collaborate with humility, communicate clearly, and enjoy learning from others as much as teaching. - You’re sure-footed in a remote environment, and able to build effective working relationships with people on the other side of the world. Bonus points for: • Experience with _ or modern JS frameworks - Familiarity with large-scale open-source systems - Contributions to community projects or mentoring others - Comfort with Linux CLI, databases (MySQL), and Git/GitHub workflows Benefits 💪 • Remote work (save many hours on commute, and save money) - Budget for co-working space or work from home - Home office equipment supplied - Flexible hours - 25 days of paid holidays per year plus your national public holidays - Sick leave - Health Insurance: Your Well-being, Our Priority - A huge “playground” to grow your skill set - Volunteering Day: Empower Your Impact - Bereavement Leave for Pets: Compassion Beyond Boundaries - Training Opportunities - Mental Health Support Services - Opportunity to have an immediate impact on a product that is used by more than 1 million websites and almost 2% of the whole Internet - Opportunity to work in a customer obsessed business, dedicated to building high-quality software with a strong mission of helping people grow their web projects while keeping full control of their data Location 🌍 • 100% Remote work position - Must be Located in Ireland Diversity and Inclusion InnoCraft celebrates the things that make you, you! We are an inclusive employer and do not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status or disability. We actively seek diversity in our workplace and embrace individuals with unique backgrounds, perspectives, and abilities! Come join our growing team that’s helping ensure a safer, more privacy-focused web/internet! #LI-Remote€80,000 - €110,000 a yearWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development. In most companies, research demand far exceeds supply. Time, cost, and lack of access to expertise hold teams back. In today’s AI-powered world, anyone can build a product fast. The real challenge? Deeply understanding user needs and building the right product. That’s where Maze comes in. We believe companies shouldn’t have to choose between building fast and building right. Maze makes research accessible, intuitive, and fast so product teams can put user insights at the center of every decision. Our platform enables researchers, designers, and product managers to quickly recruit participants, run studies autonomously, and surface insights that actually drive product decisions. Our AI capabilities automate the busywork and add depth and direction to the insights themselves. That’s why Maze was recently named the #1 user research platform in _—and why we’re scaling fast across industries like B2B SaaS, e-Commerce, Financial Services, Retail, and Automotive, supporting world class customers such as Uber, Amazon, Atlassian, Anthropic & more. Maze is a Series B company backed by top-tier investors (Felicis, Emergence & Amplify). We operate a global remote workforce _. Location: Remote, preference for Netherlands, United Kingdom, Ireland, Spain or Portugal. Key engineering and product teams are based in these locales. We’re hiring a Senior Site Reliability Engineer to join our Platform team and help us build secure, reliable, and scalable systems as Maze grows. This role sits at the intersection of cloud infrastructure, reliability, and security. You’ll work across our platform to improve how we operate production systems, strengthen our security practices, and give engineers the tooling and infrastructure they need to ship quickly and confidently. We’re looking for someone who enjoys working across boundaries, takes ownership, and brings a pragmatic approach to solving problems. You don’t need to be an expert in every part of our stack, but you should be excited to learn, move quickly, and make an impact. Build, operate, and evolve our cloud infrastructure with reliability, scalability, and security in mind Improve our observability practices and help engineers understand, debug, and operate systems in production Partner across engineering and security to strengthen our cloud security posture and operational practices Support security and compliance initiatives, including vulnerability management, security testing, and audit readiness Build tooling and automation that reduces manual work and improves the developer experience Bring an operational and security perspective to architecture and technical decisions Improve how we prepare for, respond to, and learn from production incidents Use modern AI-assisted and agentic workflows to build, debug, and operate systems more effectively Has experience building and operating production systems in a modern cloud environment, ideally AWS Understands modern SRE and infrastructure practices, including infrastructure as code and containerized workloads Has experience with observability and knows what good monitoring, alerting, and production visibility look like Brings a security mindset, with experience or interest in cloud security, vulnerability management, application security, or related areas Has exposure to security and compliance frameworks such as SOC 2 or ISO 27001, or is interested in developing deeper expertise in this area Can automate repetitive work using code and is comfortable working with at least one programming language Is excited about AI-assisted development and actively uses modern AI tools in their work Thrives in a fast-moving environment where ownership, curiosity, and pragmatic decision-making matter Cloud & infrastructure: AWS, Kubernetes, Terraform, Docker Observability: Datadog Security & compliance: Vanta, Socket CI/CD: GitHub Actions, Argo CD Data: PostgreSQL, Neo4j, Snowflake Application: TypeScript, Node.js, React You don’t need experience with every technology in our stack. We care more about strong fundamentals, an ability to learn quickly, and excitement about helping us build reliable and secure systems as Maze scales. At Maze, we are dedicated to building an equitable, inclusive, and authentic workspace. Unique and diverse perspectives are welcomed, and continuous growth is encouraged. We believe that people are more than their resumes, so if your past experience looks different than the criteria listed, we'd still love to hear from you. We appreciate and celebrate non-traditional life routes and encourage you to apply should you connect with a job description or the Maze culture. Maze values transparency and it enables us to approach compensation equitably across the world. We are informed by data and regularly check our salary ranges (either United States or Rest of World) against other venture backed companies. Additionally, we are proud of our holistic and generous benefits offerings, included in every compensation package. Your salary is dependent upon many factors, including years of experience, expertise, etc. During your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations. Early-stage startup: You will join an early-stage startup with less than 150 team members. This means you'll have the unique opportunity to directly impact success and help shape the future of Maze. Market disruption: We believe that the way companies build products is fundamentally broken and the user research market is ripe for disruption. For too long, companies have been forced to choose between rapid development without user insights or investing months into research before bringing products to market. But there's finally a groundswell building around a path forward that eliminates this compromise - and Maze is leading the charge. Product-market Fit: Maze is used by 100,000+ brands across 4,000 companies, from SMB to enterprises, and in the last fiscal year, we saw 6.5M questions answered, supporting 25K decisions Health insurance with international coverage, vision, and dental: 100% of the team member premium paid For some locations, coverage options vary, please see our _ for more information Free access to proper mental health care, unlimited virtual therapy sessions (with a human) and 24/7 access to resources Life and Disability Insurance, 100% of the team member premium paid Flexible time off Meaningful equity Company retreats, fully paid for by Maze New MacBook (laptop), paid for by Maze Paid Family leave: 16 weeks for birth or adoptive parents $500/month to be used for dependent health insurance coverage If you don't have dependents to add to your plan, you will still get access to this money to be used at your discretion to get the benefits that matter to you with our flexible a-maze-ing benefits - gym memberships, co-working spaces, food, travel, whatever! $1,500 remote work setup fund to ensure you can set up a productive work space Flexible work schedule where you manage your own working hours Monthly _ points that are awarded to others to recognize teamwork, dedication and helpfulness - points can be cashed out for gift cards and more Virtual social engagements randomly throughout the year SWAG, we have some really cool swag Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more Check out all of our a-maze-ing benefits _. We understand you might be excited about the job you’re applying for, we are excited you are interested! However, please refrain from reaching out to our current team members on LinkedIn for referrals. Our policy is that referrals can only be provided by team members who personally know the candidate. With the high volume of interest in our roles, contacting our team members who are not involved in recruitment can be overwhelming. Additionally, please avoid submitting support tickets regarding your application, as our support team is not involved in the hiring process. Rest assured, our recruitment team is diligently reviewing all applications and will reach out directly if there is a match.

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and _ rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - UK, Germany, Ireland, Spain, Poland, Bulgaria or Lithuania From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About The Role As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale. This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges. What you’ll be doing: Build and optimize data pipelines and backend services to process device and behavioral data in real time. Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production. Turn raw data into production-ready features that feed our fraud detection systems. Collaborate with platform and backend engineers to integrate models seamlessly. Maintain high standards of security, privacy, and compliance. Champion best practices in testing, documentation, and observability. What you’ll need: Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). Strong SQL skills and familiarity with relational and non-relational databases. Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration. Excellent communication skills in English, both written and verbal. Bachelor's or Master's in Computer Science, Engineering, or a related discipline. Bonus Points Domain knowledge in fraud, risk, or cybersecurity. Background in Software Engineering Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. Understanding of modern browser APIs and high-entropy data collection techniques. Familiarity with leveraging frontier LLMs for automation. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Senior Software Engineer on the ‘In-Store’ team, which is part of the wider ‘Order’ engineering group. The ‘In-Store’ squad is focused on building and improving the integrations with new and existing POS (Point of Sale) partners and systems. They ensure that customers orders successfully flow through the Olo ecosystem with a spotlight on revenue by driving critical SLA’s, uptime and overall performance when it comes to integrations with external partners. This position is perfect for someone who has experience in the POS domain or who has been building systems that integrate with external partner platforms. You’ll have the support of a highly experienced engineering team consisting of 8 engineers in one squad. On a management level, the team is led by a dedicated Engineering Manager. • Exhibit mastery of the ‘In-Store’ team’s domain, taking a leading role in the design and architecture of complex systems and influencing technical direction and strategy., • Own the delivery of large-scale features and projects, coordinating efforts across multiple teams and ensuring alignment with overall business objectives., • Provide mentorship and technical leadership to both junior and senior engineers, helping to grow the technical expertise within the team and fostering a culture of continuous improvement., • Collaborate closely with Product, Design, and other stakeholders to shape requirements, making architectural and technical decisions that balance quality, performance, and delivery timelines., • Ensure the implementation of high-quality, resilient, and scalable distributed systems, incorporating resilience mechanisms and best practices., • Lead troubleshooting and incident management efforts, taking a proactive role in resolving critical production issues and improving system reliability., • Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage., • Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various services and platforms., • Stay ahead of emerging technologies and trends, assessing new tools and techniques to enhance the team's capabilities., • Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised., • Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience., • 5+ years of experience in software engineering., • Expert Programming Skills: Advanced proficiency in the .Net and C# ecosystem, with experience in designing and implementing large-scale, complex systems., • Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka)., • Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale., • Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform., • Leadership & Cross-Team Collaboration: Demonstrate strong leadership and collaboration skills, with the ability to influence and guide technical efforts across multiple teams and ensure alignment with business objectives.About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at _. _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Lightsonic Lightsonic finds water leaks by turning telecoms fibre that's already in the ground into a sensing network. We work with water utilities across the UK and Europe to detect leaks that might otherwise run undetected for months — already saving millions of litres every day, and rising. Backed by strong investment and growing customer traction, we're in an exciting phase of rapid growth and expansion. As an early-stage company with proven technology, we're uniquely positioned to transform how critical infrastructure is monitored, creating a more sustainable and resilient environment. Who you are Required: • Someone excited about creating positive environmental impact through technology and motivated by solving real-world problems that matter, • Adaptable individual who thrives in a startup environment - getting involved in all aspects of product development, from writing code and testing models to meeting customers and even assisting with on-site leak verification, • Software engineer with 4+ years’ experience and expertise in Python and SQL, • Experience designing and building production data pipelines and data-intensive systems, • Experience working closely with machine learning engineers on model development and deployment Desirable: • Direct experience with elements of our technology stack (Azure IoT Edge, Azure Storage, dbt, Apache Iceberg, Trino, Dagster, Dask), • Experience with IoT data processing or edge computing environments, • Familiarity with time-series data and acoustic signal processing What the job involves • Designing and implementing data and machine learning systems that run from edge devices in the field through to cloud, scaling to hundreds of terabytes of sensor data — with significant ownership over technical decisions, • Working with complex multidimensional time-series and acoustic data, • Collaborating with machine learning engineers to train, deploy, monitor, and improve models in production, • Working on the customer-facing side of the product, from reporting and APIs through to the field apps used to verify leaks on site, • Taking ownership of production systems, including testing, observability, performance, reliability and troubleshooting, • Exploring and solving problems where the solution isn't always known upfront — combining engineering with experimentation and real-world feedback Application Process • Initial screening interview (20 minutes), • Technical interview (90 minutes), • Behavioural Interview (60 minutes) Initial interviews will be held via Microsoft Teams. We prefer to hold the final co-founder meeting in person when possible. Candidates must have the right to work in UK or Norway. We'll ask for references at offer stage. Company Benefits & Perks • Competitive salary, • Participation in company share option scheme, • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company, • Remote first (with occasional travel for customer meetings and team collaboration), • Life assurance and medical insurance, • 25 days holiday per year, • Home office setup allowance

Hello 👋 Bring your strengths. Raise the bar. Shape the future. We’re looking for a high-performing Senior Full Stack Engineer to join our team and help us build the future of Matomo — the world’s leading open-source web analytics platform that empowers users with full data ownership and built-in privacy. This is more than a coding role — it’s an opportunity to tackle complex challenges at scale, work with a talented and driven team, and help shape how we do engineering as we grow. You'll be working in the heart of our platform — contributing to our core application and plugin ecosystem — and making a meaningful impact on hundreds of thousands of users worldwide. If you thrive in large codebases, get energy from solving hard problems, and are excited by the chance to bring your ideas, passion, and expertise into a high-impact environment, we’d love to hear from you. Roles and Responsibilities 🚀 Engineering Excellence • Design, develop, and maintain robust, secure, and performant software at scale. - Solve tough, technical problems that matter — from performance bottlenecks to architectural improvements. - Navigate and contribute to a mature, complex codebase — and leave it better than you found it. - Write clean, well-tested, maintainable code that your future self and teammates will thank you for. - Share your expertise through code reviews, pairing, and mentoring. Product Collaboration • Work hand-in-hand with product managers and designers to deliver value that delights users. - Challenge assumptions, refine ideas, and bring an engineering perspective to product discussions. - Influence the roadmap by identifying impactful technical opportunities and trade-offs. - Stay close to the “who” and the "why" behind what we build — not just the "what." Shaping Our Growth • Be a culture and quality multiplier — bring energy, curiosity, and a drive to raise the bar. - Help evolve how we work — improving our engineering practices, processes, and standards. - Take initiative in shaping solutions, identifying risks early, and driving delivery forward. - As our company grows, you’ll help define what great engineering looks like at Matomo. About InnoCraft and Matomo 📊 At _, we’re building a more ethical, privacy-first digital world. As the leading open-source web analytics platform, Matomo powers over 1 million websites and apps in 190+ countries, offering organisations the insights they need while maintaining full data ownership and user trust. In Europe, Matomo is particularly popular with public institutions, universities, and companies that take GDPR compliance seriously. As part of our long-term growth, we are expanding our established Europe-based engineering team to support Matomo’s increasing adoption by enterprise and public-sector organisations across Europe. We believe in openness, privacy, and transparency. Every month, our platform processes billions of data points — transforming complex information into intuitive, powerful reports that delight users. Matomo is available in 50+ languages and supported by a global, fully remote community with strong hubs in New Zealand and Europe. If you are interested you can take a look at our Github here: _ Why Matomo 💡 • Privacy-first: Ethical analytics built around GDPR and user trust. - Open Source: Shape a platform used in 190+ countries. - Global team: Work with colleagues across Europe, New Zealand, and Canada. - Established & Growing: Profitable and self-funded, with double-digit growth for 5+ years and a steadily expanding global team. - Fully Remote: 100% work-from-home within United Kingdom with flexible hours. - Career Growth: Clear Engineering Career Development Framework supporting skill progression and leadership growth. - High Calibre Team: Join a collaborative group of experienced engineers focused on innovation and impact. - AI-Empowered Development: Use AI tools and practices to accelerate experimentation, development, and quality. Minimum qualifications 🤓 • You have 8+ years’ experience in software engineering, including full-stack development. - You’re highly competent in PHP and JavaScript, and not afraid of diving deep into a large legacy codebase. - You bring a structured approach to solving complex problems, and thrive in systems with many moving parts. - You’re passionate about building products and not just writing code — you want your work to have real impact. - You’re thoughtful, pragmatic, and care deeply about quality, user experience, and craftsmanship. - You collaborate with humility, communicate clearly, and enjoy learning from others as much as teaching. - You’re sure-footed in a remote environment, and able to build effective working relationships with people on the other side of the world. Bonus points for: • Experience with _ or modern JS frameworks - Familiarity with large-scale open-source systems - Contributions to community projects or mentoring others - Comfort with Linux CLI, databases (MySQL), and Git/GitHub workflows Benefits 💪 • Remote work (save many hours on commute, and save money) - Budget for co-working space or work from home - Home office equipment supplied - Flexible hours - 25 days of paid holidays per year plus your national public holidays - Sick leave - Health Insurance: Your Well-being, Our Priority - A huge “playground” to grow your skill set - Volunteering Day: Empower Your Impact - Bereavement Leave for Pets: Compassion Beyond Boundaries - Training Opportunities - Mental Health Support Services - Opportunity to have an immediate impact on a product that is used by more than 1 million websites and almost 2% of the whole Internet - Opportunity to work in a customer obsessed business, dedicated to building high-quality software with a strong mission of helping people grow their web projects while keeping full control of their data Location 🌍 • 100% Remote work position - Must be Located in United Kingdom Diversity and Inclusion InnoCraft celebrates the things that make you, you! We are an inclusive employer and do not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status or disability. We actively seek diversity in our workplace and embrace individuals with unique backgrounds, perspectives, and abilities! Come join our growing team that’s helping ensure a safer, more privacy-focused web/internet! #LI-Remote£70,000 - £95,000 a yearWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We build Tempo, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: • Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes., • Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction., • Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on., • Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors., • Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You'll Be Doing: As a Staff Engineer on Tempo, you will set technical direction on the hardest problems in our roadmap and raise the bar across the team. • Lead multi-quarter technical initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements., • Own the architecture of core Tempo components: ingestion, storage, query, and metrics generation. Drive design reviews, make sharp trade-offs on performance, cost, and complexity, and document the “why” for the team., • Design APIs for humans and agents. Shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably., • Drive operational excellence. Own outcomes against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB) and push the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts., • Partner with Product and sibling teams. Work closely with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them., • Mentor engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team smarter than you found it., • Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning., • Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and help steer the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-5.6, Claude Fable, Gemini Pro 3.1). Example problems you could work on: These are the kinds of projects landing in 2026. Any one of them is a Staff-sized problem: • Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant., • Autoscaling end to end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down., • Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads., • Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges., • Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise., • Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: • Technical leadership. A track record of leading complex, multi-quarter initiatives that spanned design, delivery, and operations, and made the teams around you better., • Deep systems experience. Substantial hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar., • Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship., • Strong Go, or a path to it. We write Tempo in Go. Deep experience in other systems languages (Rust, C, C++) translates well., • Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore., • Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate., • Leadership through writing and collaboration. You lead through design docs, reviews, and shipped code, not hierarchy. You communicate clearly in a fully remote, asynchronous environment. Bonus Points for: • Experience with tracing, OpenTelemetry, or large-scale observability systems., • Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents)., • Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads., • Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes., • Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses., • Open-source contribution or maintainership, and comfort engaging a community in the open., • Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab)., • Experience in a fully remote, globally distributed team. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 124,750. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Location: Hybrid (UK) Engagement: Embedded, full-time Experience: 6+ years in deep-tech / semiconductor / hardware recruitment (in-house, embedded/RPO, or agency) You will embed into a high-growth deep-tech business as their dedicated recruiter, operating day-to-day as an extension of the internal People function. This is an execution-heavy, high-judgement role: you will own complex technical hiring end-to-end, move at pace, and help build a repeatable hiring engine that scales. This is not generalist tech hiring. You will be working in highly specialised markets where credibility, precision, and persistence matter. As an Embedded Recruiter (Senior Talent Partner), you will run full lifecycle hiring across deep-tech engineering and selected commercial leadership roles depending on priority and region. You will embed with hiring managers, align on success profiles, build targeted sourcing strategies, and deliver high-quality shortlists for niche roles. You will be expected to recruit for highly specialised positions including (examples): Senior Digital IC Design Engineers Senior Analog / Mixed-Signal IC Design Engineers Memory design specialists and adjacent R&D engineering talent Additional deep-tech engineering roles across IC, hardware, and systems, as required Select head-office roles where needed (e.g., Business Development, Product, Partnerships) 1) Own delivery (end-to-end) Lead structured intake sessions (success profile, scorecard, interview plan, compensation context) Build and execute sourcing strategies for scarce deep-tech talent across the US and Europe Run full recruitment lifecycle: outreach, screening, shortlist quality, interview orchestration, offer strategy, close Deliver a high-touch candidate experience that reflects a mission-led, technical environment 2) Recruit with technical fluency Learn and communicate a complex technology story clearly and confidently Hold structured conversations with IC design and deep-tech candidates (without needing to be an engineer) Translate technical requirements into practical sourcing signals and screening criteria 3) Build a scalable hiring engine Operate an ATS as the source of truth with clean workflows, stages, and reporting Implement structured interview scorecards and repeatable hiring playbooks Create weekly operating cadence: pipeline reviews, hiring manager updates, decision discipline Support the foundations of employer brand in outreach and messaging consistency (where relevant) Consistent progress against priority roles with clear funnel health and fast feedback loops High quality, curated shortlists for niche deep-tech positions (quality over volume) Strong stakeholder trust built through crisp communication, ownership, and pace A hiring process that improves every month because you systemise it, not because the business slows down 6+ years recruiting in deep tech (semiconductors, IC design, hardware, advanced materials, compute infrastructure, or similarly technical domains) Track record hiring across Digital IC, Analog/Mixed-Signal, and/or specialised engineering disciplines Strong stakeholder management: able to align, challenge, and drive decisions without politics High output and high judgement: speed with a high bar Data and process mindset: you naturally run structured pipelines, metrics, and cadence Comfort operating across geographies and time zones with clear written communication This is an embedded role in a deep-tech environment at an inflection point. You will be trusted to operate like an internal owner, with real accountability for outcomes, quality, and pace. We are committed to building a diverse, inclusive workplace. If you need adjustments at any stage of the process, we will support you.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. We are looking for a Staff Backend Engineer to join our Grafana Backend Services squad. The Opportunity: The Grafana backend Services squad’s mission is to deliver the best Grafana service to both On-Prem and Cloud customers in a unified, end-to-end manner, from ownership of the API codebase all the way to operation of its components. Today, this means taking charge of multiple components such as the Grafana Backend API itself and the CLI tool, but also all the orchestration infrastructure required to deliver Grafana at the scale of our Cloud product. What You'll Be Doing: • Work with your team to deliver new functionality, then use the results to iterate and improve, • Contributing to and reviewing design documents for upcoming features, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Take an active role in influencing our roadmap and your career objectives, • Be a part of your team’s on-call rotations and take ownership of the services you’re running, • Mentor and support other team members, participate in design discussions, and collaborate with the team, • Regularly sharing ideas and knowledge across a vast array of technical ideologies and mindsets, • Working closely with the other squads in the Grafana Division We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit: • Have solid backend development experience, ideally with Go, • Good understanding of storage solutions with an emphasis on relational databases like MySQL, SQLite, and Postgres, • Care deeply about developer and user experience and the quality of the products that you work on, • Have experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way, • Have experience writing clean, robust, and performant software that is easily maintained by others, • Have experience with mentoring junior engineers in a collaborative but asynchronous environment, • Enjoy working on complex solutions – Grafana is a highly technical solution and has avid followers who rely on it every day and care deeply about their workflows., • Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively Bonus Points For: • Experience with open-source software and/or commercial open-source companies, • Experience working with Docker and Kubernetes, • Experience with CI/CD, DevOps, or Developer Efficiency work streams, • Been a user of Grafana and Prometheus in operational roles, • Familiarity with being on-call and performing operations/SRE tasks, • Exposure to microservices architecture and distributed systems, or a desire to learn Compensation & Rewards: In the UK, the Base compensation range for this role is £91,000 - £114,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .