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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.

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.

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 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 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 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 Benefits 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 _.

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 .

_ is an On-Demand Talent Platform specialising in the IT and technology sector. We have an opportunity live at the moment looking for an Infrastructure Engineer (Virtualisation) with one of our enterprise clients. All proposals will be reviewed on the Gigged AI platform. In order to send a proposal please head to https://app.gigged.ai/find-a-gig/6gd09q70AEL and create a free talent profile. Start: ASAP Duration: 6-month rolling contract (likely 1–2 years) Rate: £550 per day (inside IR35) Location: Hybrid – 2 days per week in Sheffield office to start (may reduce once established) We are seeking an experienced Infrastructure Engineer (Virtualisation) to join a leading financial services organisation on a contract basis. You will design, build, and support enterprise virtualisation platforms across on-premises and hybrid environments, ensuring stability, performance, and regulatory compliance. This role is key to maintaining secure, resilient, and cost-effective infrastructure, enabling application and platform teams to deliver change safely. Virtualisation Platform Engineering & Operations Build, operate, and maintain enterprise virtualisation platforms (VMware vSphere/ESXi, Hyper-V). Provide day‑2 operational support: monitoring, troubleshooting, performance tuning, capacity optimisation. Execute patching, upgrades, firmware updates, and hardware lifecycle activities. Ensure high availability, clustering, failover, and recovery mechanisms. Platform Lifecycle & Capacity Management Own platform lifecycle processes: build standards, upgrades, decommissioning, technical refreshes. Conduct capacity planning and forecasting to meet business demand. Identify and remediate single points of failure; support disaster recovery testing. Automation & Standardisation Develop and maintain automation for provisioning and configuration (scripting/Infrastructure as Code). Standardise virtualisation builds, templates, and configurations. Support integration with cloud and container platforms in hybrid delivery models. Incident, Problem & Change Management Act as escalation point for complex incidents. Perform root cause analysis and implement preventive actions. Support controlled change execution following ITIL processes. Security, Risk & Compliance Ensure platforms meet security standards, hardening guidelines, and regulatory requirements. Support audits with documentation and operational evidence. Manage vulnerabilities, configuration drift, and access controls. Collaboration & Documentation Work closely with storage, network, OS, cloud, and application teams. Provide technical input for designs and onboarding. Maintain documentation, runbooks, and operational procedures. Essential: Experience with enterprise virtualisation (VMware vSphere/ESXi/vCenter or equivalent). Proven infrastructure engineering or platform operations experience in enterprise environments. Hands-on with upgrades, patching, performance tuning, troubleshooting. Knowledge of server hardware, storage, and networking related to virtualisation. ITIL-aligned operational experience. Strong analytical, troubleshooting, and documentation skills. Desirable: Experience in financial services or regulated industries. Scripting/automation experience (PowerShell, Python) and Infrastructure-as-Code. Knowledge of hybrid integration between virtualisation, cloud, and containers. Disaster recovery/business continuity experience. Personal Attributes: Ownership and accountability for platform stability. Ability to work in global, multi-disciplinary teams. Clear communication with technical and non-technical stakeholders. Proactive, focused on continuous improvement and risk reduction.

We are committed to building a team that reflects the communities and customers we serve, and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply. Comfortable with focusing on multiple competing priorities and ap

🌏 Located remotely (must live in UTC-5 to UTC+2 time zones to apply) 💸 Salary £110,000 👯 Working in the Engineering team Want to ditch the commute, keep meetings to a minimum, and join a team of talented, experienced, and friendly folks? Do you do your best work when you have the freedom to work flexibly and the autonomy to make your own decisions and try new things? We are a profitable, independent company with a fully remote team working asynchronously across Europe, Canada, and South America. We’re building high-quality products for our users in the last-mile delivery space and working on solving complex, real-world problems for drivers, courier companies, retailers, and anyone who receives a delivery! If you’re an experienced Backend Staff Software Engineer who enjoys working closely with product, design, and engineering - and you like tackling complex backend architecture challenges - we think you’ll be right at home here. Just a few of the things we offer on top of salary: Fully remote Flexible working Equity options Annual company performance bonus 32 days of paid holiday Enhanced PTO for parental leave Annual company events and meet-ups We also make sure you have the tools, space, and support to do your best work: £3,200 every three years for a new laptop £500 a year towards new tech or your home office £1,000 a year for learning and development £1,000 a year for conferences £1,000 a year for wellbeing 💫 If you’d like more info about our benefits or to get a better feel for how we work day to day, you can find more in our and on our . As one of a team of three backend engineers, you’ll work across the systems that underpin our products, and focus on reliability, security, and keeping things running smoothly in production. In practice, that means building and improving backend services, supporting distributed systems, and making sure we have the right observability approach in place, from logging through to alerting, so issues are easier to spot and quicker to resolve. You’ll take the lead across multiple backend components, whether that’s shaping system design, digging into complex production behaviour, or driving longer-term improvements to workflows, deployments, and platform performance. As the stack evolves, you’ll be part of conversations about new backend and cloud technologies and deciding what’s worth adopting. A few things that are worth knowing up front: There are no daily stand-ups or lots of recurring ceremonies. On average, you’ll have one meeting a week, and the rest happens asynchronously. You won’t be handed a spec and asked to implement it without question. You’ll work closely with PMs and designers, ask the right questions early, and help shape the technical approach. It’s not a people management role. We don’t work in a traditional management structure, so leadership here comes through technical ownership, leading projects, and supporting the team as you go. And while we do like moving quickly, we don’t ship to hit an arbitrary deadline. The goal is to build things exceptionally well, stay pragmatic, and avoid creating future problems. Comfortable working with a high level of autonomy, while staying pragmatic, collaborative, and open to feedback Experience building and operating large-scale backend systems Experience designing and working with distributed systems, cloud-native architectures, infrastructure as code, and service reliability Experience with at least one modern backend language such as Go, TypeScript, Java, or Python Able to lead complex engineering initiatives and bring technical clarity to ambiguous problems A solid foundation in API design, data modelling, and scalable storage strategies Experience in diagnosing performance issues and supporting high-availability production systems Familiarity with CI/CD pipelines, automated testing, IaC, and modern deployment tooling Good technical judgement, and the ability to communicate decisions clearly and thoughtfully Programming Language: Node/Typescript Databases: PostgreSQL, Firestore Cloud Provider: Google Cloud Monitoring, Observability & Logging: Prometheus, Grafana, Honeycomb, Google Cloud Back in 2017, we saw an issue with last-mile delivery. Delivery drivers have a complicated and stressful job, and although delivery software existed, it neglected the driver experience. We set out to create the app that puts drivers first. We were astounded by the response we received. Drivers told us their job was far less stressful, and they got home earlier every day. Within our first year, we had almost 1,000 customers, $100k in ARR, and a team consisting of our two co-founders, Jack and Pol. Now, with a lean team of ~50 talented people, we’ve grown to $25M ARR, helping over 100,000 drivers deliver more than 1.4 billion packages worldwide—about 40 every second! Our hiring process for this role has four stages, which usually takes ~three weeks. At every step, you will have the opportunity to ask questions and make sure that we are the right choice for you. 1) Meet our recruiter You’ll have a video call with our TA Director, _, who will tell you more about Spoke and get to know you, too. 2) Meet the hiring manager You’ll have a video call with _, our Engineering Manager and the person this role reports to, to discuss your technical skills and experience in more detail. 3) Paid take-home project At this stage, we will invite you to take part in a paid take-home project that gives you a chance to showcase your skills and a flavor of the types of challenges you’ll be working on here at Spoke. 4) Final call You’ll have a 30-minute final video call with our Founder and CEO, _, an informal chat, and an opportunity to meet. 🌿 If you need us to make any adjustments to our interview process, or if I can make you more comfortable for our first call, please let me know. Sadie Remote£110,000 - £110,000 per yearEngineeringUK Your application has been successfully submitted! _

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: _. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. As part of the Revenue Team, you’ll work closely with customers, the sales team, the product team, the engineering team and the support team to ensure a seamless and delightful Runpod experience. Your role will focus on providing technical insights, resolving challenges, and building trust with customers. Our team is dedicated to delivering exceptional solutions and fostering collaboration across functions to make the platform as smooth and efficient as possible. This Forward Deployed Engineer will support the growth of our cloud platform. This role ensures customers experience seamless operations, addressing technical challenges, guiding onboarding, and collaborating with engineering and sales teams. Ideal candidates combine technical expertise with strong communication skills to enhance customer satisfaction and improve our platform. You’ll play a key role in solving technical challenges, shaping the customer experience, and driving product improvements. By building strong customer relationships and collaborating across teams, your contributions will directly enhance operational efficiency, customer satisfaction, and the success of Runpod. This FDE will need to be located in EMEA Responsibilities: Participate in sales meetings with customers, explain Runpod’s specific technologies, provide architectural recommendations, and build proof-of-concept solutions to support onboarding for potential high-spending customers. Troubleshoot and resolve critical or complex technical issues escalated by customers, including those related to configuration, performance, functionality, compatibility, or code errors in Runpod’s products or services. Utilize various tools and methods, such as code analysis, scripting for testing, log analysis and remote access, to identify root causes and deliver solutions or workarounds. Communicate effectively with customers and internal teams, including engineering, sales, supply and product management teams, to ensure customer satisfaction and integrate valuable feedback. Assist the support team in troubleshooting and resolving escalated technical tickets, collaborate with the engineering team to provide workarounds or bug fixes, and work with the infrastructure team to address GPU server-related issues. Contribute to product development and testing efforts by relaying feedback from customers and the support team to the engineering team, helping to shape product improvements. Create and maintain technical documentation, such as knowledge base articles, FAQs, guides, and manuals, while also developing and delivering training sessions, webinars, and demos for customers, partners, and internal teams. Requirements: Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related field) or equivalent professional experience. 3+ years of professional experience in software development. Strong problem-solving skills and ability to work in a collaborative environment. Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems. Excellent communication skills and attention to detail. Located in US in the PST region Successful completion of a background check. Preferred: Strong technical skills, including proficiency in Python (Django, Flask, PyTorch), JavaScript (React, Node.js), and Go, with hands-on experience in full-stack development. Knowledge of various operating systems (Linux/Ubuntu), containerization (Docker), SQL databases (MySQL, PostgreSQL), NoSQL databases (MongoDB), and an understanding of data center components such as server hardware and network operations, as well as familiarity with common network protocols like TCP/IP, HTTP/HTTPS, SSH, and DNS. Proficiency in deploying and managing AI/ML models as services or APIs, along with a deep understanding of machine learning models, including their training, inference, and deployment processes on Runpod platforms. Ability to write and execute scripts, queries, or commands, and the ability to read and understand code, logs, errors, or traces. What You’ll Receive: The competitive base pay for this position ranges from 100,000- 180,000 usd (local currency equivalent). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. Flexible PTO- take the time you need to recharge Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work; however, we are currently unable to sponsor employment visas

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! French fluency is required We are seeking a highly consultative, commercially minded Senior Solutions Engineer to support our most strategic accounts. This role is a critical technical seller position, owning pre-sales technical strategy, shaping customer requirements early, and influencing outcomes in complex, competitive sales cycles. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value through Technical Selling & Deal Shaping, Technical Champion Ownership & Thought Leadership, Customer & Internal Advocacy and Competitive & Strategic Selling This role reports to the Director of Solutions Engineering and operates at the intersection of technical depth, business acumen, and competitive selling discipline. Technical Selling & Deal Shaping: Lead technical discovery to deeply understand customer business objectives, constraints, success criteria, and buying drivers. Shape technical requirements early in the sales cycle to align customer outcomes with Docker’s differentiated value. Design, position, and execute structured PoCs and PoVs, including defining success criteria, evaluation plans, and exit strategies. Influence customer decision-making through workshops, whiteboarding sessions, and technical executive briefings. Translate complex technical capabilities into clear business value narratives. Technical Champion Ownership & Thought Leadership: Build, own, and expand relationships with customer technical champions and influencers. Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices. Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities. Maintain engagement beyond initial sale ensuring outcomes are realized and leveraging insights to support future sales motions. Customer & Internal Advocacy: Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle. Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts. Competitive & Strategic Selling: Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the cycle. Partner with Sales to develop technical win strategies for strategic and competitive accounts. Proven experience as a Solutions Engineer, Sales Engineer, or Solution Architect in complex enterprise sales. Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria. Ability to engage credibly with senior technical and business stakeholders. Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures. Experience with Docker, container ecosystems, or adjacent technologies strongly preferred. Development, Agentic AI dev, Software Development Lifecycle and/or Software Supply Chain Experience experience strongly preferred. Excellent communication, influence, and stakeholder management skills. Willingness to travel to customer sites as required. Fluency in French and English You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program You will learn how to navigate through award-winning sales tools such as; Salesforce, Outreach, SalesForce, Looker, and Docker. Actively engage with senior stakeholders, and manage relationships with clients You will work closely with your peers and partner with CSMs to develop strategies to advocate for our customers. At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role. You will be laser-focused on supporting the CS Team during your second month. You will have connected with all of your Team members. You will gain in-depth knowledge of Docker’s products and how they impact our customers. You will have an advanced understanding of tools, activities, and best practices to be successful in your role. In month three, you will be confident in your craft and ready to immerse yourself in our customer’s business needs fully. You will continue efforts to improve messaging, processes, and activities. Educate our clients about our product roadmap and undertake product training for users You will be ready to operate independently at full speed. Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

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 _.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Link supports the life sciences industry to connect with key people to improve research and care. It helps professionals to find the right people for, e.g., clinical trials, education programs, or advisory boards. This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. You can read more about Veeva Link on our product pages at _. As a data engineer, you focus on our data pipelines and take responsibility for a major part of the Link data processing platform. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product's data pipelines and adjusting them to changing demands of the market. You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process. We hire the same role for different engineering domains: Sourcing, Tagging, Matching, and Provisioning. Depending on the engineering domain, you will focus on different aspects. We decide together which domains fit best for you. \n What You'll Do • Work on Veeva Link’s next-gen Data Platform, • Improve our current environment with features, refactoring, and innovation, • Work with JVM-based languages or Python on Spark-based data pipelines, • Operate ML models in close cooperation with our data science team, • Experiment in your domain to improve precision, recall, or cost savings Requirements • Expert skills in Java or Python, • Experience with Apache Spark or PySpark, • Experience writing software for the cloud (AWS or GCP), • Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Nice to Have • Experience with operating machine learning models (e.g., MLFlow), • Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift), • DevOps skills, including terraform and general CI/CD experience, • Previously worked in agile environments, • Experience with expert systems Perks & Benefits • Comprehensive benefits package, • Annual allocations for continuous learning, development & charitable contributions, • Fitness reimbursement, • Veeva Work-Anywhere \n #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

As a Senior Data Engineer at Chip, you'll help bring our data platform to the next level and empower Chip to be a truly data-driven business. You'll co-own the architecture of our data platform alongside our Analytics Engineer — not just implementing designs, but making the calls on how ingestion, modelling, and the semantic layer should actually work. You'll also provide technical leadership across the wider data engineering team as we grow. What you can expect to be doing: Architecture & Pipeline Design Design, build, and run scalable, secure data pipelines across multiple sources — with an eye on compute sizing and query performance Co-own architecture decisions across ingestion, modelling, and the presentation layer — defining how the platform should work, not just building to spec Design and evolve our medallion architecture (Bronze, Silver, Gold) as the platform matures Engineering Standards Define more detailed engineering standards — naming conventions, partitioning, testing strategy, contract templates Apply Databricks best practices and Infrastructure as Code across the platform Data Governance Own governance patterns in Unity Catalog — permissions, access models, and how we handle sensitive data Set technical governance standards the rest of the team builds against Enablement & Self-Service Enable downstream consumers with self-service patterns, so the data team isn't the bottleneck for every request Technical Leadership & Mentoring Provide technical leadership across the data engineering team — mentoring other engineers, reviewing code, and raising the engineering bar What we’re looking for: Data engineering: You've built and scaled complex data products in a growing environment — you've seen platforms mature past their early ad hoc stage and know what that evolution actually takes. Databricks expertise: Deep, hands-on knowledge of the Databricks platform end to end — workspace and compute configuration, governance, orchestration, user management, engineering best practices. Data modelling: You're comfortable designing schemas and data models, including medallion architecture and Kimball/Star Schema concepts (Fact and Dimension tables), from the ground up. Git: You're fluent in Git workflows — branching, troubleshooting, code reviews. Python/PySpark/SQL: You write clean, efficient code across all three, and you understand how it performs at scale. Database management: Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB), with a solid grounding in database fundamentals — indexing, performance, design trade-offs. Terraform: You have experience in managing infrastructure as code with Terraform. Mentoring: You've supported and grown less experienced engineers before, and enjoy doing it. Architecture ownership: You design systems, not just implement them — you can reason through trade-offs and defend a decision. Data governance: You understand PII handling and governance patterns, and build them into your designs by default. Nice to have: Previous experience in fintech Experience re-architecting a data platform from the ground up Experience building and training AI/ML models Databricks Certified Data Engineer Professional (or equivalent) Proficiency in building streaming data processing systems Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP) What we’re really looking for: ✍️ We’re looking for someone who’s genuinely excited about Chip and energised by the opportunity to help build the future of wealth, making saving, investing and pensions simpler and more accessible for everyone. We work in a regulated space, so the bar is high. But we’ve built a team of smart, thoughtful people who care about doing great work and enjoy doing it together. Technical skills matter, obviously. But they’re not the only thing we hire for. We want real people. People with interests, perspective and personality. The best teams are made up of individuals who bring different experiences into the room, not just polished CVs and good interview answers. So alongside the technical side, we’ll be looking for empathy, self-awareness, sound judgement, resilience and a collaborative mindset. People who are good to work with, especially when things get hard. ⏰ Working Hours ⏰ Monday to Thursday: 9:00 AM – 6:00 PM Friday: 8:00 AM – 4:00 PM (Start your weekend early!) Enjoy a structured yet balanced workweek, with an early Friday finish to kickstart your weekend! PERKS £70,000 - £80,000 per annum Discretionary Performance-Related Annual Bonus. Workplace pension scheme - We invest in your future with a workplace pension scheme, contributing 5% on earnings up to £50,000. Plan ahead with confidence while you grow your career! Private medical insurance (medical history disregarded) Employee Assistance Programme Cycle to work scheme Season ticket loan Free ChipX subscription for UK-based employees We are an equal-opportunity employer and value diversity Flexible working arrangements 28 days holiday plus bank holidays, plus the days between Christmas and New Year ✈️ Annual training budget for courses, workshops, or conferences to help you advance your career. £30 per month Chip Fitness Benefit to suit your Mental/Physical Wellbeing Company laptop Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high-growth fintech startup Our Interview Process: Video screen with someone from our Talent team Video interview with the hiring manager Final interview with VP of Engineering We're committed to making our recruitment process accessible to everyone. If you require any reasonable adjustments at any stage of the application or interview process, please let us know at _ and we'll be happy to accommodate. About Chip Chip’s mission is to make your life wealthy We're building the wealth super app of the future. An app to build your long-term wealth across savings, investments and pensions. We use technology to break down barriers so users can invest like the ultra-wealthy, giving them one simple place to manage, grow and protect their wealth. The Sunday Times listed Chip as the 6th fastest growing tech company in Britain… and we're not slowing down. Chip serves over 400,000 active customers and looks after over £6billion in assets. These customers trust us to build the most amazing product we can, so working at Chip comes with real purpose. Chip is being built by a fast-growing team of designers, developers, customer service professionals, marketers, banking experts, and entrepreneurs. Our funding story though is a little different. Chip is one of the most crowd-funded businesses in Europe, having raised over £50m from 29,000 investors, over 9 years. Crowdfunding is in our DNA and only Brewdog has more investors than Chip. Our vision To be the most personal digital wealth manager in the UK Who we are Chip has a creative and diverse team of 180, from all different backgrounds and industries. We’re driven and passionate people, but no one takes themselves too seriously. Don’t just take our word for it. We have a few awards under our belt, including Best Personal Finance App at the 2022, 2024 & 2025 British Bank Awards. Our Values Be ACCOUNTABLE Everything you do matters, Care about the end result, Challenge the norm, Disagree, yet commit to making it happen once a decision has been made, Do the best job possible Be BOLD Share our Ambition and do your bit to achieve it, Innovate: challenge the norm, break the mould and make it happen, Set goals that truly align with our mission, Do your best for our customers Be COLLABORATIVE Work cross-functionally - we win as a team, Build strong relationships based on trust, Treat others fairly and respectfully, Hold others to account, Be supportive and inclusive, Have fun together Equal Opportunities We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and home life. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It’s talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. Note to Agencies Chip does not accept unsolicited CVs from recruiters or employment agencies in response to any of our live roles on our career page. Chip will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited CVs. Chip explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited CVs, including those submitted to hiring managers, are deemed to be the property of Chip.

Remote (UK-based) | Full-Time Reactive Markets is the 2026 OTC Trading Platform of the Year (_). Our network handles over $50 billion in daily trading volumes across FX, Equities, and Cryptocurrency, connecting 40+ of the world's leading liquidity providers. We build trading systems that operate at the edge of what's technically possible — where nanoseconds matter and a dropped message costs real money. Our engineering team is small, senior, and deeply invested in the craft of building cutting edge, reliable, high-performance systems. We're looking for a C++ Software Engineer who wants to build low-latency trading infrastructure on Linux. You'll work on the core components of our Switchboard trading platform — pricing engines, connectivity gateways, market-data systems, and the messaging layer that ties them together. This is not a role where you write code and throw it over a wall. You build it, you test it, you deploy it, you support it in production, and you improve it. Our engineers own the full lifecycle — from design through to operational excellence. When something breaks at 4pm on a Friday, you're part of the team that investigates and fixes it. Occasional hours outside the normal working day are required for production releases, scheduled maintenance windows, and Level 3 support during critical incidents. We keep this to a minimum and recognise the commitment — but owning a production trading platform means being there when it matters. Modern C++20 and Go on Linux — a modern software stack based on open source Cloud-native infrastructure on AWS with colocation in key data centres Microsecond-level latency optimisation and high-throughput messaging Market-data and reference-data pipelines across multiple asset classes FIX protocol integrations with global banks and liquidity providers Observability and monitoring — dashboards, alerting, and metrics that make system behaviour visible Production systems that handle real money — reliability is not optional Technical: Strong C++ with Linux systems programming (3+ years) Comfortable working close to the metal — you understand what's underneath your code Experience with performance-sensitive systems (profiling, optimisation, deterministic behaviour) Familiarity with networking fundamentals (TCP/UDP, socket programming) Go experience is a strong bonus — we use Go extensively for microservices and command-line tooling, and you'll be expected to work with it internally. If you don't know it yet, strong C++ engineers pick it up quickly Python for scripting, automation, testing, and data analysis — used across the platform for tooling and operational workflows Git and shell scripting Experience in financial services or trading technology is a plus but not essential How you work: You ship. You're delivery-focused — you iterate, you improve, you get things into production You own it. When you build something, you take responsibility for its behaviour in production. You respond to incidents (15-minute acknowledgement SLA during working hours), investigate issues, and close the loop You write things down. Documentation is not an afterthought — it's how we scale knowledge across a distributed team. If it's not written down, it doesn't exist You communicate. We're a distributed team across multiple time zones. Clear, proactive communication — especially when things go wrong — is essential You care about quality. You write clean, testable code. You review your peers' work thoughtfully. You push for continuous improvement without gold-plating You embrace AI tooling. We use AI tools (Claude, Gemini) to amplify our engineering capability — from code review and debugging to incident investigation and documentation. You don't need to be an expert, but you should be curious and willing to learn Real problems — trading systems where performance is measured in microseconds, not user clicks An excellent team — senior engineers who care about craft, collaborate openly, and hold each other to high standards Ownership — small teams, clear accountability, direct impact on the platform and our clients Competitive package — up to 30 days leave + bank holidays, private health insurance, pension, life insurance, dental/optical cashback, cycle to work, socials and offsites Remote-friendly — work from home with flexibility. We trust our people to deliver Sustainable pace — we work hard, but we don't burn people out. Balance is how we stay sharp Growth — career progression to senior roles, performance specialisation, or technical leadership. We invest in people who invest in us We believe in transparency, honest feedback, and writing things down. We celebrate delivery, not activity. We frame AI as empowering people — removing toil, amplifying capability, enabling higher-value work. We aim to build systems that don't depend on the heroics of individuals to maintain and support — systems and processes that are resilient, documented, and sustainable. We keep our process focused and respectful of your time. Our process follows three stages. Stage 1: Initial Conversation with Talent Acquisition Format: Video call, ~30-45 minutes Stage 2: Hiring Manager Conversation with the relevant team lead or hiring manager Format: Video call, ~60 minutes Stage 3: Technical Interview with two members of the relevant engineering team Format: Video call, interactive session, ~60 minutes What to expect in each stage will be explained by Talent Acquisition if you're invited to interview. Throughout the process, we aim to keep momentum with no unnecessary delays between stages, and feedback typically comes within a few business days. *Please note that depending on availability, Stage 2 and 3 may swap around. Please apply directly via this job posting — all applications, including those submitted via LinkedIn, are managed through our applicant tracking system, so you'll always land in the same place regardless of where you found this role. Right to Work: Candidates must have the existing right to work in the UK. We are not currently able to offer visa sponsorship for this role. Equal Opportunities: Reactive Markets is an equal opportunities employer. We welcome applications from all qualified candidates regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Reasonable Adjustments: If you need any adjustments or support during the application or interview process, please let us know — we're happy to accommodate. Data Protection: By applying, you consent to Reactive Markets processing your personal data for recruitment purposes, in line with our . #Hiring #SoftwareEngineering #CPlusPlus #FinTech #TradingTechnology #RemoteWork #LowLatency

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 .

AI Engineer \n \n Position: AI Engineer \n \n Type: Hourly Contract (Part-Time) \n \n Compensation: $60–$120/hour \n \n Location: Remote \n \n About the Opportunity \n This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization to contribute to advanced AI research and evaluation projects. \n You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. \n No prior AI experience is required — your technical expertise is what matters. \n Responsibilities \n\n • Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows.\n, • Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization.\n, • Develop reproducible environments with deterministic verification and golden reference solutions.\n, • Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers.\n, • Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability.\n, • Apply strong knowledge of algorithms, data structures, debugging, and systems engineering to create challenging evaluation tasks.\n, • Provide structured technical feedback to improve AI model reasoning and software engineering capabilities.\n, • Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables.\n\n Required Qualifications \n\n • Strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust.\n, • Deep understanding of algorithms, data structures, and performance optimization.\n, • Demonstrated experience debugging complex software issues and delivering maintainable solutions.\n, • Strong background in feature development and codebase refactoring.\n, • Proven ability to optimize software for performance and scalability.\n, • Excellent analytical, problem-solving, written, and verbal communication skills.\n, • Strong attention to detail and ability to work independently.\n, • Experience collaborating effectively within cross-functional or remote engineering teams.\n\n Preferred Qualifications \n\n • Experience working with large-scale or distributed codebases.\n, • Familiarity with AI, machine learning, generative AI, or AI agent systems.\n, • Experience with MCP, agentic workflows, or developer tools.\n, • Background in rigorous code reviews, software testing, and engineering best practices.\n, • Experience designing benchmarks, evaluation environments, or technical assessments.\n, • Familiarity with DevOps, CI/CD, cloud infrastructure, or systems engineering.\n\n Compensation \n\n • Competitive compensation of $60–$120/hour.\n, • Hourly contract engagement.\n, • Part-time opportunity of approximately 15 hours per week.\n, • Fully remote with flexible scheduling, including the option to choose your preferred working days and hours.\n, • Output-based compensation may apply, with payment based on completed tasks meeting project specifications.\n\n Application Process \n\n • Apply to the role and complete the required screening questions\n, • Complete an AI interview of approximately 30 minutes\n, • Complete the technical assessment, if required\n, • Hiring Manager review\n, • Complete onboarding and begin the engagement\n\n

AI Engineer \n \n Position: AI Engineer \n \n Type: Hourly Contract (Part-Time) \n \n Compensation: $60–$120/hour \n \n Location: Remote \n \n About the Opportunity \n This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization to contribute to advanced AI research and evaluation projects. \n You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. \n No prior AI experience is required — your technical expertise is what matters. \n Responsibilities \n\n • Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows.\n, • Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization.\n, • Develop reproducible environments with deterministic verification and golden reference solutions.\n, • Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers.\n, • Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability.\n, • Apply strong knowledge of algorithms, data structures, debugging, and systems engineering to create challenging evaluation tasks.\n, • Provide structured technical feedback to improve AI model reasoning and software engineering capabilities.\n, • Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables.\n\n Required Qualifications \n\n • Strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust.\n, • Deep understanding of algorithms, data structures, and performance optimization.\n, • Demonstrated experience debugging complex software issues and delivering maintainable solutions.\n, • Strong background in feature development and codebase refactoring.\n, • Proven ability to optimize software for performance and scalability.\n, • Excellent analytical, problem-solving, written, and verbal communication skills.\n, • Strong attention to detail and ability to work independently.\n, • Experience collaborating effectively within cross-functional or remote engineering teams.\n\n Preferred Qualifications \n\n • Experience working with large-scale or distributed codebases.\n, • Familiarity with AI, machine learning, generative AI, or AI agent systems.\n, • Experience with MCP, agentic workflows, or developer tools.\n, • Background in rigorous code reviews, software testing, and engineering best practices.\n, • Experience designing benchmarks, evaluation environments, or technical assessments.\n, • Familiarity with DevOps, CI/CD, cloud infrastructure, or systems engineering.\n\n Compensation \n\n • Competitive compensation of $60–$120/hour.\n, • Hourly contract engagement.\n, • Part-time opportunity of approximately 15 hours per week.\n, • Fully remote with flexible scheduling, including the option to choose your preferred working days and hours.\n, • Output-based compensation may apply, with payment based on completed tasks meeting project specifications.\n\n Application Process \n\n • Apply to the role and complete the required screening questions\n, • Complete an AI interview of approximately 30 minutes\n, • Complete the technical assessment, if required\n, • Hiring Manager review\n, • Complete onboarding and begin the engagement\n\n

Senior Site Reliability Engineer. 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. Build, operate, and evolve our cloud infrastructure with r

Join our growing FinTech Engineering team! We're recruiting another Software Engineering Team Lead to join Asset Sales team. Your architecture will directly shape how millions of people access credit for the first time. We've already served 10 million customers and unlocked more than $2 billion in credit since we began. Every system you design, every engineer you develop, and every decision you make contributes to a platform that's quite literally transforming financial inclusion across an entire continent Mission-driven engineering: Your daily work enables affordable smartphones, digital loans, and financial services for Africa's Every Day Earners — people for whom traditional finance simply doesn't work. Global recognition: Join a FinTech company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing company for five consecutive years (2022–2026). Scale that matters: You'll be architecting systems that process over 2 million payments daily across five markets — and building for the next 10 million customers. Environmental impact: We're carbon-negative, having avoided 2.155 million tonnes of CO₂ emissions across our product portfolio. What You'll Do At M-KOPA, you'll lead a team of backend engineers through both greenfield and legacy projects, owning the full software lifecycle from design ideation through to production and eventual decommissioning. Our engineering teams work under a true DevOps culture — with infrastructure as code, observability, automated testing, and continuous delivery treated as first-order concerns, not afterthoughts. You'll set architectural direction, partner closely with your Product Manager counterpart on roadmap planning and prioritisation, and serve as a servant leader who grows the people around you while shipping high-quality, impactful software. Technical Environment Languages & frameworks: C#/.NET Cloud: We work in Azure, and welcome experience across AWS or GCP Architecture: Event-driven systems and microservice development - we use Azure Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ Infrastructure: Kubernetes, Docker Observability: Prometheus, Grafana Engineering culture: DevOps, infrastructure as code, automated testing across all environments including production, continuous delivery Our Engineering Approach Full ownership: Teams own their solutions end-to-end - from inception through production support to decommissioning. Servant leadership: We lead by coaching and enabling, not directing. Quality by default: Observability, monitoring, and automated testing are built in from day one. Continuous improvement: We foster a culture of innovation within a supportive, dynamic team environment. Product partnership: Engineering and Product work as genuine counterparts — planning together, prioritising together, delivering together. What You Need We're looking for an experienced, low-ego engineering leader who brings both technical depth and a genuine passion for growing people. Required Experience: Strong hands-on background in C#/.NET backend development Proven experience with Azure, AWS, or GCP - we work in Azure but welcome experience across major cloud providers Solid understanding of event-driven architecture and microservice development - we use Azure Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ Experience leading or mentoring engineers in a collaborative team environment Ability to set technical direction and provide architectural guidance Comfortable working with Product to shape roadmaps and drive delivery The Team You'll lead a close-knit, focused engineering team with real end-to-end ownership over a significant part of the M-KOPA platform. You'll have a dedicated Product Manager as your counterpart and operate with genuine autonomy over technical direction. Fully remote role in UK and parts of Europe within UTC -1 to UTC +3 time zones Work with diverse teams across the UK, Europe, and Africa Professional development programmes and coaching partnerships ‍‍ Family-friendly policies and flexible working arrangements Well-being support and genuine career growth opportunities We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities. Our technology has created measurable change: Connected : 2.5 million first-time smartphone users connected to the mobile internet Prosperous : 70% of customers use M-KOPA products for income generation, with 35,000 livelihoods created for agents Green : 2.155 million tonnes of CO₂ avoided through clean energy and circular economy products, with over 127,700 circular economy products provided Ready to build the systems that create real-world financial inclusion while leading a talented team of engineers? Apply Now! At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility. Join us in shaping the future of M-KOPA as we grow together. Explore more at _. Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024, 2025 and 2026), named on CNBC's World’s Top Fintech Companies 2025 & 2026 and by TIME100 Most influential companies in the world 2023 and 2024 , we've served over 10 million customers, unlocking $2 billion in cumulative credit for the everyday earners across Africa, in addition to over 10,000 e-bikes financed in Kenya. Important Notice M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date. If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.

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 .

Description Principal Platform Engineer - 12 Month FTC Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or ‘Clubs’) so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,300 people with Clubs all over the UK and Europe with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world’s digital skills gap. The Role The Principal Platform Engineer will provide technical leadership in shaping, evolving, and scaling our clients cloud platform. The role will establish robust, reusable platform capabilities and self-service solutions that enable engineering teams to deliver software faster, more reliably, and with a consistently high developer experience. The Principal Platform Engineer will operate across architecture, engineering, reliability, automation, and developer enablement, influencing technical strategy while remaining hands-on in the design and delivery of platform capabilities. Key Responsibilities • Define and evolve the technical strategy, architecture, and roadmap for a AWS cloud platform., • Design and build scalable, secure, resilient, and reusable platform capabilities., • Develop self-service tooling and services that abstract operational complexity and improve developer productivity., • Drive automation across infrastructure, application delivery, operational processes, and platform management., • Establish and promote platform standards, engineering patterns, and best practices across engineering teams., • Improve the reliability, scalability, performance, observability, and operational efficiency of the platform., • Identify opportunities to reduce engineering friction, eliminate repetitive work, and accelerate software delivery., • Establish engineering principles and guardrails that enable teams to move quickly while maintaining appropriate levels of security, reliability, and governance., • Lead technically complex platform initiatives from discovery and architectural design through implementation and operational adoption., • Influence engineering teams and senior stakeholders on platform strategy, architectural decisions, and technology choices., • Mentor and develop engineers, raising engineering capability and promoting strong platform engineering practices., • Champion a culture of automation, ownership, continuous improvement, and operational excellence. Experience and Technical Capability We are particularly interested in candidates who can demonstrate significant experience in: Platform Engineering • Designing and operating internal developer platforms at scale., • Building reusable platform services, tooling, and self-service capabilities., • Applying platform-as-a-product principles to improve developer experience., • Establishing standards and paved-road approaches that enable engineering teams to work independently. Cloud-Native Architecture • Designing highly available, scalable, and resilient cloud-native architectures., • Strong understanding of cloud infrastructure, distributed systems, networking, identity, and security., • Experience making architectural trade-offs across reliability, scalability, performance, cost, and developer experience. Infrastructure & Delivery Automation • Infrastructure as Code and automated cloud provisioning., • CI/CD and automated software delivery., • Automation of operational processes and platform lifecycle management., • Experience establishing repeatable, standardised engineering workflows. Reliability & Performance Engineering • Designing platforms for resilience, fault tolerance, observability, and operational excellence., • Applying SRE principles and practices to improve availability and reduce operational risk., • Performance analysis, capacity planning, scalability engineering, and proactive reliability improvement., • Establishing meaningful service-level objectives, monitoring, alerting, and operational practices. Technical Leadership • Providing technical leadership across multiple engineering teams or a wider engineering organisation., • Influencing architecture and technical direction without relying solely on organisational authority., • Leading complex technical initiatives and driving decisions through ambiguity., • Mentoring senior and developing engineers and creating a culture of knowledge sharing and technical excellence. Why join AND Digital? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem-solving. By joining AND, we’ll provide: • Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people’s lives., • A “Blended Working” model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery., • A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self., • An annual budget for training and upskilling, including allocated days off so you don’t have to study in your own free time., • Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members., • A safe environment for you to be yourself and challenge yourself. _ Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to your application or interview process so please speak to our recruitment team.

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. What You Will Do • Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout., • Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning., • Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements., • Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically., • Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done., • Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria., • Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements., • Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality. Required • 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript., • Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on., • Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale., • System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer., • Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects., • Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio., • You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you., • Ability to travel. This role requires domestic and international travel approximately 25–50% of the time., • Elligible to work in the UK on an ongoing basis, • BS or MS in Computer Science, a related field, or equivalent industry experience Nice to Have: • Experience founding or scaling an FDE/solutions engineering function., • Technical founder background. Databricks, AWS Bedrock, or Temporal experience., • Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers)., • Proficiency in German/French language will be an added advantage, • Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act) Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote

Are you looking to be part of something special, like shaping the future of healthcare? We are looking for a Data Engineer to help build, test, and optimise the pipeline powering our analytics, reporting, and data products. This is a role with real ownership to contribute to the next generation of our platform. If this sounds like you, keep reading! 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 used by thousands of clinicians across the UK, France, and beyond -making their lives easier, saving them money, and structuring health data to support better care and research. 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. This role can be based in France or the UK, or contracted in selected EU countries, full remote. What you will be doing • Build and maintain ELT pipelines, monitor pipeline health and data freshness, • Write and maintain config-driven pipeline definitions and deploy workflows to Databricks across a multi-tenant environment, • Extend our modelling layer, support CI/CD and ingestion projects, • Collaborate with data and product teams to deliver reliable, well-tested data, • Participate in code reviews and help evolve platform standards and documentation What we’re looking for • 3–5 years of data engineering experience, • Strong Python & SQL skills, • Experience with Apache Spark / PySpark, • Ability to monitor, troubleshoot, and resolve pipeline failures, • Familiarity with lakehouse concepts, • Experience with Git, Databricks, streaming / CDC, AWS, Great Expectations Nice to have • Exposure to YAML, • Experience building analytics data models in Spark What you’ll get in return • Autonomy and ownership – we’ll set the vision and share the context, then we trust you to run with things – that’s why we hire you!, • Work alongside an inspiring team – our founders started Semble after a successful startup exit, and your future colleagues are all knowledgeable and innovators in their field. We welcome applications from people of all backgrounds and all walks of life, including underrepresented groups in the tech industry. We also encourage applications from disabled and neurodiverse candidates. If there are any adjustments we can make to support you throughout the recruitment process, please do let us know.

Gearset is the leading DevOps platform for Salesforce - our users can build and manage many aspects of their Salesforce development from within Gearset, from complex CI/CD pipelines to disaster recovery. The Gearset platform is a standalone tool that sits outside of the Salesforce platform, integrating via public APIs only. So while our engineering team doesn't develop within the Salesforce environment, our users do. So we work closely with those domain experts to build novel solutions to the unique challenges they face, enabling them to make their Salesforce changes quickly and safely. We live and breathe this approach ourselves: we release new versions of Gearset multiple times a day and we continually invest in improving our own observability and infrastructure tools. This means we can identify and react to issues quickly and delight our users by getting improvements to them as fast as possible. As a product-driven company founded by engineers, we know the value of a great engineering culture, teamwork and tight feedback loops. We’re confident in our product, market potential, and we have big plans for the future. Check out _ to see what it’s like working as an engineer in our Belfast office. \n What are the opportunities for a Principal Software Engineer at Gearset? • Our small engineering teams start from a few core principles but evolve over time. They all work a little bit differently, depending on their preferences and the problem they're working on. You’ll impact what we build, as well as how we build it., • A great team does their best work with context and feedback - there’s no substitute for talking directly with the people impacted by our work. Engineers work across the business and talk directly to customers and partners, to ensure we're solving the most pressing problems., • Our tech stack includes C#, React, TypeScript, Postgres, AWS and Kubernetes. You’ll become familiar with our pragmatically chosen stack, but you’ll also help us define what great looks like. About you • A track record of creating a positive business impact outside of writing code. To us this could look like leading a team, driving the rollout of a new technology or owning the development of a major feature, • Previous experience as a full-stack engineer, including experience working directly with customers, • A passion for learning and continual improvement, being comfortable giving and receiving constructive feedback to make your work even better You can read more about our_ Great to haves • Familiarity with C#/.NET, JavaScript/TypeScript and React, • Expertise with an OOP language (eg. Java, C++) and a modern JS framework (eg. Angular, Vue.js), • Proficiency in working on a distributed, cloud hosted product with rapid release cycles, • Experience working in an agile development team, where you’ve delivered incremental small slices, and are comfortable with reacting to meet user needs We believe that diverse teams perform better, so if your experience doesn’t fit perfectly or you don't meet every single requirement but you’re excited about this role, we’d love for you to apply anyway. Salary and benefits (the stuff you’d expect!) • Salary is £78k - £90k+ (depending on experience), • This role is based in our Cambridge office but with the flexibility to work from home when you need to, • Generous personal development budget for courses, conferences, or whatever is useful to your professional development in the role of up to £1500 per year, • Top end hardware provided, • Free lunch in the office, • BUPA health care, • Life Insurance & critical illness cover, • Discounted gym membership, as well as a range of health and wellness benefits, • Opportunity to join our Long Term Incentive scheme \n£78,000 - £90,000 a year\n About us Gearset is the leading Salesforce DevOps platform trusted by more than 2000 companies around the globe, including Sonos, Intercom, TripAdvisor, Sage and Salesforce. We’ve maintained the fast-paced, exciting environment of a startup, with the success and ambition of a scaleup, across our HQ in Cambridge (UK) and offices in Belfast, London and Chicago. We’re proud of the unique culture we've built, one based on trust, collaboration, transparency, and teamwork. This allows us to be strongly feedback-driven and stay focused on delivering the best solution for our customers. Alongside our Glassdoor score of 4.3/5, and customer G2 scores of 4.7/5, we hold three awards from Best Companies UK: Top 5 Best Company to work for in the East of England, UK Top 5 Best Mid-sized Company, and Top 5 Best Technology Company to work for in the whole of the UK. About the engineering team Some of us studied computer science; some of us have only ever worked at startups; some have worked at huge companies; some are former consultants and some are former chemists. We know diverse teams with varied experiences and opinions are key to the success of the business, so if what we’ve shared about this role sounds interesting, we'd encourage you to apply, whatever your background.

BPM – where caring and community are in our company DNA. We are always striving to be our best selves and are compelled BPM – where caring and community are in our company DNA. We are always striving to be our best selves and are compelled to ask the questions that lead to innovation. As a [Job Title] at BPM UK, you will be part of an exciting growth journey as we establish and expand our UK presence. BPM has a strong global advisory focus, and the UK team is at the forefront of this expansion. Our people-first culture sets us apart—we combine the best of UK business practices with the backing and resources of a well-established international firm. You will work with ambitious, high-growth clients, including recognizable UK brands, as they navigate the complexities of international expansion. At BPM, we take a true advisory approach, partnering with clients throughout their business lifecycle to provide strategic insights across tax, finance, and business operations. At BPM, you will broaden your skills, challenge yourself, and make a difference for your colleagues and communities. Our entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter. What You Get:International Exposure & Collaboration – Work alongside a global team, integrating with US colleagues and clients.Flexible Working Arrangements – Hybrid model with regular Central London team meetups and colleague events.Challenging & Exciting Client Work – Serve a diverse client base, from UK-based high-growth companies to North American businesses expanding internationally.A Strong, People-First Culture – We prioritize work-life balance, career development, and flexibility, setting us apart from traditional firms.Professional Growth & Development – Support for ACA, AAT, and other professional qualifications, with structured training, mentorship, and learning opportunities. About the role: We are seeking an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is for a builder — someone who doesn’t just experiment with AI but makes it work inside the firm at scale. You’ll take AI tools and models and embed them into BPM’s day-to-day operations, ensuring they deliver real business value. In this role, you’ll design and develop AI-powered applications — from chatbots and copilots to workflow automations — that streamline processes across Tax, Assurance, Advisory, and our Corporate Services Team. You’ll partner with teams to spot opportunities where AI can cut manual effort, increase accuracy, and speed up delivery, then turn those opportunities into working solutions. At BPM, this isn’t about chasing hype — it’s about applying AI where it matters most and seeing your work make an immediate impact. You’ll be part of standing up a brand-new AI-focused development team, not only building solutions but also shaping the team’s processes, tools, and standards. This is a chance to learn new technologies, push technical boundaries, and set the foundation for how AI gets delivered across the firm. Success in this role means turning ideas into reliable solutions colleagues can depend on — helping BPM move faster, work smarter, and stay ahead in a rapidly changing industry. Key Responsibilities: Model Development: Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions). Data Engineering: Prepare and manage structured and unstructured datasets, ensuring quality inputs for training and evaluation. AI Integration: Build and deploy AI features into BPM systems and workflows, using tools like Copilot Studio, Azure OpenAI, and Power Platform. Automation: Deliver automation solutions that streamline operations and reduce manual effort for Tax, Assurance, and Advisory practices. Collaboration: Work closely with IT, business stakeholders, and data governance teams to identify use cases and ensure solutions align with firm goals. Experimentation & Innovation: Rapidly prototype AI solutions, test emerging tools, and recommend best practices for adoption. Governance & Quality: Apply responsible AI practices, ensuring models are accurate, explainable, and compliant with BPM’s standards. • Strong background in machine learning, data science, and applied AI., • Proficiency with Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools., • Experience building chatbots, copilots, or similar AI-driven automation., • Solid programming skills with Python., • Knowledge of MCP (Model Context Protocol) is a plus., • Experience preparing datasets and building ML pipelines., • Familiarity with product development lifecycles and agile delivery practices., • Security-conscious mindset with knowledge of data protection best practices, especially when working with sensitive or regulated data., • Strong problem-solving skills with ability to translate business needs into AI solutions., • Excellent collaboration and communication skills to work across technical and non-technical teams., • Ability to explain complex AI concepts simply to stakeholders., • Bachelor’s degree in a relevant field along with at least 5 years of related work experience, • Experience with cloud platforms (Azure preferred), • Familiarity with frameworks and libraries such as OpenAI SDK, Azure AI SDK, LangChain, and Pandas., • Knowledge of enterprise data governance, compliance, and responsible AI practices., • Prior experience in professional services (accounting, consulting, or similar) a plus., • At least 1 year of applied AI experience, • Proficiency with Azure OpenAI, Copilot Studio, Power Platform, and Microsoft ecosystem tools, with proven success embedding AI solutions into enterprise environments., • Strong programming background in Python and SQL, with experience using frameworks and libraries like LangChain, Pandas, and Azure AI SDK., • Experience building and deploying chatbots, Copilot extensions, and automation workflows that reduce manual work and improve efficiency., • Skilled in data engineering and pipeline development, including preparation of structured and unstructured datasets for AI/ML use cases., • Solid understanding of cloud platforms (Azure preferred), enterprise data governance, and responsible AI practices., • Strong collaboration skills with ability to translate technical concepts into plain language for non-technical stakeholders., • Able to work independently or in collaborative, cross-functional teams to deliver AI and data-driven solutions and helping shape a newly implemented Ai focused team at BPM., • Strong analytical and problem-solving skills with ability to adapt quickly to shifting priorities and emerging technologies., • Able to adjust quickly to the fast-evolving AI/ML landscape, • Skilled at translating complex technical concepts into plain language for non-technical colleagues and leadership., • Effective at building trust and collaboration across diverse teams, including technical staff, business stakeholders, and leadership., • Naturally curious, persuasive, and motivated to drive adoption of innovative technologies., • Strong written and verbal communicator, with experience preparing clear documentation, training materials, and presentations., • Adept at researching new AI tools, frameworks, and industry trends, and applying them to practical business use cases., • Customer- and colleague-focused mindset, ensuring AI solutions align with real-world needs., • Highly organized with ability to prioritize and execute tasks in high-pressure, deadline-driven environments., • Persistent and results-oriented, with a track record of seeing projects through to completion. $150,000 - $180,000 a yearThe salary range provided is intended for candidates in the San Francisco Bay Area who meet the minimum requirements of the position. Candidates who do not reside in the San Francisco Bay Area, do not meet the minimum requirements, or exceed the requirements are encouraged to apply and a recruiter will provide you with a range specific to your location and qualifications.Wondering if you should apply? At BPM we are people who value people. We are progressive and purposeful. We are a firm with flexibility. Our shared entrepreneurial spirit drives us to see and do things differently. And our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. BPM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Please note - this posting is for prospective candidates only. Unsolicited third-party resume submissions will be considered property of BPM and will not be acknowledged or returned. About BPM UK: BPM is an established global advisory firm, and our UK expansion is a key part of our growth journey. We specialise in partnering with clients throughout their business lifecycle, supporting everything from domestic tax and audit compliance to international expansion strategies. Unlike traditional firms, BPM offers a true global advisory experience, ensuring clients receive proactive, strategic guidance. Our UK team brings together the best of UK business practices with BPM’s international expertise, fostering a collaborative, flexible, and people-first culture. We are looking for driven professionals who are excited to be part of something new—helping shape BPM’s future in the UK while working with some of the most dynamic and recognisable brands in the market.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do Build and optimise LLM-powered systems Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches Experiment with modern architectures such as Transformers and Mixture-of-Experts Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods Develop robust evaluation approaches to measure model quality and reliability Develop scalable AI systems Build and deploy production-grade NLP pipelines and services Ensure models operate efficiently with low latency and high availability Integrate models into scalable cloud infrastructure and real-world applications Data strategy and model training Lead the acquisition, processing and governance of large structured and unstructured datasets Apply exploratory data analysis and validation techniques to improve training pipelines Ensure data privacy and governance standards suitable for financial services Engineering best practices Contribute to DevOps and MLOps pipelines Implement robust version control, testing and CI/CD workflows Support reliable deployment and monitoring of models in production environments Technical leadership Mentor engineers and contribute to the technical growth of the team Work closely with product, engineering and data teams to deliver AI solutions Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations and data acquisition pipelines Experience implementing software engineering best practices including Git and agile development Experience working with cloud environments (preferably AWS) Nice to have Experience with containerisation technologies such as Docker or Kubernetes Experience with frameworks such as vLLM or NeMo Knowledge of financial services NLP applications Experience designing evaluation methodologies for LLM outputs Experience building intelligent agents or multi-agent systems Skills and mindset Strong analytical problem-solving skills Ability to design scalable, production-ready AI systems Clear communication with both technical and non-technical stakeholders Passion for AI innovation and continuous learning Leadership and mentoring capability Qualifications MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: Remote-first working across the UK Work abroad policy Co-working spaces available 34 days holiday (including flexible bank holidays) and your birthday off Company-wide off-sites Optional Personal Development Plan Flexible benefits platform Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions) Private health and dental care Potential share options Enhanced family leave

Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team—from Finance to HR—to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 600+ across Paris, London, New York, San Francisco, and Toronto, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo all while working as one team. If you're driven by innovation and ready to make an impact at scale, we’d love to hear from you. Our Engineering team Our Engineering team is responsible for developing our SaaS platform and building a comprehensive and user-friendly product. Pigment engineers participate in the entire application development lifecycle, focusing on design, coding, and keeping the production platform up and running. They can be specialized, but there is no strict separation between the backend and the frontend. We value user-centricity and pragmatism: we choose the most relevant tools for the problem we have to solve, understanding the strengths and constraints of each technology. Our engineering culture also values curiosity, humility, trust, ownership and team spirit. Our technical stack is C# on .NET Core Linux, React, TypeScript, PostgreSQL, Google Cloud Platform, Docker, Kubernetes, Terraform, RabbitMQ and Circle CI. Explore Our Tech Blog: If you're curious about the kind of challenges our engineering team tackles, our culture and our organization, we invite you to explore our_! Who you are More than knowledge of a specific language or framework, we are looking for great software engineering skills: ability to translate functional requirements into an elegant and simple design, and then deliver the code. We are also looking for engineers who understand the product and the customer's needs in detail and can suggest innovative ideas: in the end, it's all about delivering value to end users. In any case, you have: Experiences as a software engineer working on a product in production. Demonstrated experience in infrastructure (Kubernetes, IaC tooling, public cloud) and a drive to help teams work effectively and autonomously. Proven experience designing object oriented software with languages such as C#, Java, C++, Golang, Rust, Python or Ruby (this list is not exhaustive). Great team spirit with a problem-solving attitude. A good dose of humility and the willingness to grow (no matter your seniority!). Folks from underrepresented minorities: science shows that you are less likely to apply if you feel that you don’t have all the necessary prerequisites. If this description matches where you are now or what you'd like to grow into in your next position, we encourage you to apply. What you will get Competitive salary Equity Trust and flexible working hours Brand new offices in the heart of Paris, London, New York and, Toronto Remote-friendly environment #LI-CK1 #LI-HYBRID €65,700 - €120,000 a yearWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses 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 Senior Software Engineer Location: Remote (EU/UK based) Team: Backend Reports to: Lead Software Engineer Company Overview At Lockwood, our vision is to bring people together through Avakin Life, where players can play, share, and socialize in one of the world's largest and most populous metaverses. Avakin Life provides an immersive 3D life simulation experience for millions of users worldwide. With a focus on innovation and collaboration, Lockwood offers a flexible and creative environment that empowers our teams to push the boundaries of what’s possible. We provide competitive benefits, including an employee share scheme, making Lockwood an exciting destination for those passionate about shaping the future of digital experiences. This position is available as a fully remote role, though there may be occasional meetups for social interaction and strategic sessions. Role Summary We are looking for an individual eager to be part of our backend team building and scaling the systems that power Avakin Life, ensuring the platform continues to deliver an outstanding experience for millions of players. You will play a crucial role in ensuring the team collaborate and effectively build scalable, reliable, and secure backend systems that support our mission to create an unparalleled social gaming experience. Key Responsibilities • Collaborate with teams across Lockwood to identify necessary functionality and efficiency improvements and to determine the correct solution., • Work collaboratively within the cross-functional team to deliver maximum value in an agile environment., • Take on new technical skillsets as the role requires., • Manage risk through a dev-ops culture and thorough testing, maintaining high quality., • Analyse the system for issues and resolve as priority dictates., • Continuously improve the development and planning process., • Understand what is valuable to the company, and how work relates to that., • Take ownership of the system produced., • Contribute to a strong team sense of identity and spirit., • Foster a learning culture within the team., • Work within best practices for secure, compliant, and reliable systems. Requirements Essential: • 5+ years experience in software engineering, • Professional understanding of agile concepts and processes, • Good knowledge of the Software Development Lifecycle (SDLC), • Solid grasp of dev-ops concepts and processes, • Effective time management and estimation skills, • Excellent communication skills, • Self-motivated in work and willing to learn new skills., • Ability to adapt to change with resilience., • Understanding of back-end development best practices, • Strong expertise in backend development primarily in Golang, but also with languages such as Java, Python, Node.js, or C#, • Deep understanding of microservices architecture, event-driven systems, and distributed computing, • Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker)., • Advanced knowledge of SQL and NoSQL databases., • Strong background in designing scalable, high-performance systems. Desirable: • Experience in the gaming industry or large-scale interactive systems., • Familiarity with messaging systems such as Kafka, RabbitMQ or similar, • Proficiency with monitoring tools like Prometheus, Grafana, or ELK Stack, • Experience with AI/ML integration in backend systems. Benefits Why Join Us At Lockwood, you’ll be part of an inclusive, creative, and highly motivated team. You’ll work on systems used by millions of players, shaping the live game experience and ensuring we can deliver new content and events rapidly and reliably. This is your opportunity to make a real impact—not just on our games, but on the future of how we operate. • Private Healthcare Plan, • Pension Plan, • Life Assurance, • Work From Home, • Training & Development, • Employee Assistance Programme

About Node4 We are a united force driven by a single ambition; to deliver faster transformation, lower cost, and truly differentiated outcomes - we do this by bringing together our AI Augmented MSP platform, hybrid sovereign cloud solutions, deep Microsoft expertise and the Node4 People We are: Nimble – We focus on what matters most, adapt fast and embrace change Original – We think differently, stay curious and innovate Driven – We are bold, bring energy and own the outcome Engaged – We operate as one, building strong relationships 4 More – We always go further for our people, customers and partners About the role Node4 seeks a skilled Data Platform Consultant with technical expertise, business acumen, and excellent communication skills to deliver innovative data solutions. You’ll understand client needs, design and implement data architectures, and ensure high-quality data services that add business value. Node4 is a growing technology company valuing innovation, client satisfaction, and professional growth. You’ll work on exciting projects, develop skills, and significantly impact client success. We work with diverse businesses, from fast-growing startups to large multinationals across various sectors. In the public sector, we deliver data implementation programmes for Central Government Departments, such as acting as the strategic data partner for the Foreign, Commonwealth and Development Office, and the Ministry of Housing, Communities and Local Government. This experience provides exceptional insight into data-driven decisions in different contexts, supporting strategic decision-making in various settings. Our clients are mainly UK-based. The role is primarily remote, with occasional travel to client sites and our UK offices for team gatherings. We lead our customers on their journey from traditional reporting to discovery and intervention, using business data effectively and surfacing critical information in the right way at the right time, to drive better business outcomes. The successful candidate will be excited by a role in which new challenges are constantly presented for us to solve. The data problems we solve are diverse and evolving, requiring skills to identify, access, explore and query various database platforms, including on-premises SQL databases, IaaS and PaaS SQL, cloud databases, and application APIs. The role demands strong, extensive data engineering skills to extract, transform, and load data from various sources into suitable repositories and models, collaborating with colleagues to solve each new problem. Experience in Microsoft data analytics applications, particularly Microsoft Fabric and Azure Data Services, is needed for data ingestion, transformation, storage, and presentation of impactful data repositories and models. The role mainly focuses on data platform and engineering workloads before visualisation/reporting, blending with our Analytics team to deliver holistic Data and Analytics solutions. Along with these technical skills, excellent verbal and written communication skills are essential. The role involves daily direct communication with clients while designing and implementing data solutions, requiring the ability to build rapport, understand and advise our clients. Key Tasks and Responsibilities Your primary responsibility will be to participate in the scoping, design, documentation and implementation of Data Platform solutions to our clients in a client facing role, and your experience will reflect the necessary consultancy skillsets. Activities you would be expected to conduct include: Conduct workshops with our clients, working closely with your cross-functional colleagues, to understand and capture their solution requirements Producing High-Level Design (HLD) and Low-Level Design (LLD) documentation, to capture client requirements and design the intended solution Implement and configure the designed solutions in accordance with our design and implementation standards, with the support of senior and principal consultants in the practice Provide technical authority in the course of project delivery, working constructively with our clients and project managers Provide pre-sales support to our sales and marketing teams when required, including contributing to bid and tender responses Provide technical assurance/governance to our clients Work as part of a broader technical team delivering large multi technology solutions to our clients, which will include Data and Analytics solutions What will you bring? 5+ years experience with the implementation of data and analytics architectures and data modelling Experience of (and an appreciation of the importance of) writing high quality, detailed technical documentation Demonstrable experience of working with Microsoft Data & AI products, such as Azure Data Services (Synapse, Data Factory, Data Lake, SQL, Analysis Services) Microsoft Fabric, and Power BI Experience of IaaS/on-premises equivalents of the above workloads is valid, such as SSIS, SSAS, SSRS Databricks (desirable) Demonstrable experience of working with query languages within these workloads, such as Transact-SQL to a highly proficient level Data transformation expressions in Data Factory/Synapse (desirable) Power Query M and DAX (desirable) Python; PySpark (desirable) Proven experience in a client facing data consultancy role designing, implementing, and supporting data solutions Ability to lead business and technical discussions Self-driven ambition to deliver excellence in collaboration with your team, with a drive and desire to learn and develop Strong problem-solving nature, with the ability to examine a problem and involve the appropriate people at the appropriate time Must hold or be able to successfully achieve and maintain Non-Police Personnel Vetting (NPPV3) status, and national Security Check (SC) clearance Desirable Skills Hold or be capable of obtaining role-relevant Microsoft certifications such as Fabric Analytics Engineer Associate Azure Data Engineer Associate Power BI Data Analyst Associate Azure Data Scientist Associate Experience with using Python for appropriate data engineering workloads Experience with configuring and implementing Microsoft Purview as part of a data platform solution Experience with delivering data solutions through Databricks, and configuring and implementing the Unity Catalogue Knowledge/experience of Dynamics Business Central/NAV, Finance and SCM, and other Microsoft Business Applications database structures What can we offer you? Hybrid Working Private Medical Insurance or Company Paid Health Cash Plan Employee Assistance Program 25 days holidays plus your birthday off Option to purchase additional holiday (up to 5 days) Company Pension Scheme Life Assurance x 4 A diverse workforce Employee investment with Node4 training Academy Family savings and shopping discounts through the Node4 benefits portal. Discounted Gym Membership Modern facilities with open and welcoming breakout areas Company Social events Never ending supply of hot and cold drinks, biscuits, sweets, and fruit Why join Node4? Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide and beyond. From three people to a workforce of over 900. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company. TAKE A LOOK AT _

AI Engineer Position: AI Engineer Type: Hourly Contract (Part-Time) Compensation: $60–$120/hour Location: Remote About the Opportunity This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization to contribute to advanced AI research and evaluation projects. You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities • Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows., • Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization., • Develop reproducible environments with deterministic verification and golden reference solutions., • Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers., • Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability., • Apply strong knowledge of algorithms, data structures, debugging, and systems engineering to create challenging evaluation tasks., • Provide structured technical feedback to improve AI model reasoning and software engineering capabilities., • Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables. Required Qualifications • Strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust., • Deep understanding of algorithms, data structures, and performance optimization., • Demonstrated experience debugging complex software issues and delivering maintainable solutions., • Strong background in feature development and codebase refactoring., • Proven ability to optimize software for performance and scalability., • Excellent analytical, problem-solving, written, and verbal communication skills., • Strong attention to detail and ability to work independently., • Experience collaborating effectively within cross-functional or remote engineering teams. Preferred Qualifications • Experience working with large-scale or distributed codebases., • Familiarity with AI, machine learning, generative AI, or AI agent systems., • Experience with MCP, agentic workflows, or developer tools., • Background in rigorous code reviews, software testing, and engineering best practices., • Experience designing benchmarks, evaluation environments, or technical assessments., • Familiarity with DevOps, CI/CD, cloud infrastructure, or systems engineering. Compensation • Competitive compensation of $60–$120/hour., • Hourly contract engagement., • Part-time opportunity of approximately 15 hours per week., • Fully remote with flexible scheduling, including the option to choose your preferred working days and hours., • Output-based compensation may apply, with payment based on completed tasks meeting project specifications. Application Process • Apply to the role and complete the required screening questions, • Complete an AI interview of approximately 30 minutes, • Complete the technical assessment, if required, • Hiring Manager review, • Complete onboarding and begin the engagement

AI Engineer Position: AI Engineer Type: Hourly Contract (Part-Time) Compensation: $60–$120/hour Location: Remote About the Opportunity This opportunity is for experienced AI Engineers and Software Engineers with expertise in Python, Java, C++, Rust, TypeScript, algorithms, debugging, codebase refactoring, and performance optimization to contribute to advanced AI research and evaluation projects. You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities • Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows., • Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization., • Develop reproducible environments with deterministic verification and golden reference solutions., • Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers., • Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability., • Apply strong knowledge of algorithms, data structures, debugging, and systems engineering to create challenging evaluation tasks., • Provide structured technical feedback to improve AI model reasoning and software engineering capabilities., • Collaborate with technical teams to maintain consistent evaluation standards and high-quality deliverables. Required Qualifications • Strong proficiency in at least one of C++, Python, Java, Go, TypeScript, or Rust., • Deep understanding of algorithms, data structures, and performance optimization., • Demonstrated experience debugging complex software issues and delivering maintainable solutions., • Strong background in feature development and codebase refactoring., • Proven ability to optimize software for performance and scalability., • Excellent analytical, problem-solving, written, and verbal communication skills., • Strong attention to detail and ability to work independently., • Experience collaborating effectively within cross-functional or remote engineering teams. Preferred Qualifications • Experience working with large-scale or distributed codebases., • Familiarity with AI, machine learning, generative AI, or AI agent systems., • Experience with MCP, agentic workflows, or developer tools., • Background in rigorous code reviews, software testing, and engineering best practices., • Experience designing benchmarks, evaluation environments, or technical assessments., • Familiarity with DevOps, CI/CD, cloud infrastructure, or systems engineering. Compensation • Competitive compensation of $60–$120/hour., • Hourly contract engagement., • Part-time opportunity of approximately 15 hours per week., • Fully remote with flexible scheduling, including the option to choose your preferred working days and hours., • Output-based compensation may apply, with payment based on completed tasks meeting project specifications. Application Process • Apply to the role and complete the required screening questions, • Complete an AI interview of approximately 30 minutes, • Complete the technical assessment, if required, • Hiring Manager review, • Complete onboarding and begin the engagement

At Air Apps, we believe in thinking bigger - and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal, in 2018 - and now with offices in both Lisbon and San Francisco - we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management - and change lives along the way. As a DevOps Engineer – Backend, you will play a key role in designing, automating, and maintaining the infrastructure that powers our backend systems. You’ll work closely with developers to streamline deployments, improve scalability, and ensure our services are reliable, secure, and cost-effective. By building efficient CI/CD pipelines, managing cloud environments, and enforcing infrastructure best practices, you’ll enable our teams to deliver high-quality features quickly and confidently. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes. Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform (GCP). Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi. Deploy and manage containerized applications using Docker and Kubernetes. Monitor system performance, identify bottlenecks, and improve infrastructure reliability. Establish and enforce security best practices, including identity management, logging, and vulnerability management. Work with development teams to improve deployment efficiency and troubleshoot infrastructure issues. Optimize cloud resource utilization to ensure cost-effectiveness and scalability. Automate infrastructure provisioning, configuration management, and system maintenance. Stay up-to-date with emerging DevOps technologies, tools, and best practices. Around 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering. Strong expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, CircleCI, ArgoCD). Experience with cloud services (AWS, Azure, or GCP) and serverless computing. Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong knowledge of Linux-based systems, networking, and security best practices. Scripting skills in Bash, Python, or Go for automation. Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog). Understanding of cloud cost optimization, scalability, and high-availability architectures. Strong problem-solving skills and ability to work in an agile, fast-paced environment. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

We’re Civica and we make software that helps deliver critical services for citizens all around the world. From local to state government, to education, to health and care, over 5,000 public bodies across the globe use our software to help provide critical services to over 100 million citizens. Our aspiration is to be a GovTech champion everywhere we work around the globe, supporting the needs of citizens and those that serve them every day. Building on 21 years of continuous growth and success, we're at a pivotal point on our journey to realise that aspiration. Why you will love this opportunity as a Senior Software Engineer at Civica. We are seeking a highly skilled Senior Software Engineer to join our dynamic engineering team. In this role, you will be responsible for the design, development, and implementation of innovative software solutions. You will collaborate with cross-functional teams to deliver high-quality products that meet user needs and business objectives. What you will be doing: • Design, development and implementation of software applications, ensuring scalability, performance, and security., • Conduct code reviews to ensure best practices, maintainability, and adherence to coding standards., • Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement., • Work closely with product managers, UX/UI designers, and other stakeholders to gather requirements and deliver effective solutions., • Identify and troubleshoot software issues, implementing effective solutions in a timely manner., • Create and maintain comprehensive documentation for software design, code, and processes., • Stay updated on emerging technologies and industry trends, advocating for improvements and new technologies that could benefit the team and projects., • Expert in Go, React, experience in C#, .net & Angular would be desired, • Proficient in Test-Driven development (TDD), automated testing frameworks and methodologies, • Experienced with cloud technologies e.g. Azure, AWS, • In depth knowledge of DevOps practices and tools (CI/CD, containerization, etc.), • Expert in database design and management (SQL, NoSQL)., • Strong analytical and problem-solving skills, with a knack for debugging complex issues., • Excellent verbal and written communication skills, with the ability to effectively collaborate across teams., • Experience working in Agile/Scrum environments, with a focus on iterative development., • Experience in modernising legacy applications Why You'll Love Working with Us As a company, we're passionate about what we do and the citizens we serve. If you, too, want to champion the use of technology in public services to improve outcomes for citizens and public sector organizations, then Civica is the right place for you. We will help you unlock the best version of yourself, achieve career growth, and make a real difference to people and communities. We know that when our people are happy, they work better and have greater job satisfaction. Here's what you can expect: Time Off & Work-Life Balance ✔ 25 Days Annual Leave + bank holidays – plus the option to buy up to 10 extra days! ✔ Days of Difference – Up to 3 extra days off for volunteering. Financial Well-being & Security ✔ Pension Contributions – 5% employer match to support your future. ✔ Income Protection – Up to 75% salary cover for long-term illness. ✔ Life Assurance – 4x salary tax-free lump sum. ✔ Critical Illness Cover – £25,000 lump sum (extendable to dependents). Health & Perks ✔ Private Medical Insurance – Fast access to private healthcare. ✔ Health Cash Plan – Claim back physio, therapies & more. ✔ Dental Insurance – Cover for routine & emergency care. ✔ Affinity Groups – Join employee-led communities. ✔ Bounty Bonus – Refer a friend & get rewarded. At Civica, we are committed to building an inclusive and diverse workplace where everyone feels valued and supported. We believe that a variety of perspectives drives innovation and excellence, and we welcome applicants from all backgrounds, cultures, and experiences. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, disability, age, or any other legally protected characteristic. Our recruitment process is designed to ensure fairness and transparency, so every candidate has an equal chance to contribute to our mission. If you need any adjustments or accommodations to participate in our recruitment process, please let us know. We are here to support you.

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin is seeking a Senior Backend Engineer with a strong focus on backend development, particularly in Java and serverless architectures, combined with solid frontend experience. This role is ideal for engineers passionate about building scalable distributed systems, data modeling, and delivering high-performing, reliable software solutions for our award-winning educational platform. As a core contributor to our shared services team, you will play a key role in developing and enhancing the foundational systems that power both existing and new applications. Responsibilities: • Design, develop, and optimize scalable shared backend services using Java and serverless technologies (AWS Lambda), • Design / implement RESTful APIs and event-driven systems, • Contribute to the development of user-facing frontend components as needed., • Optimize existing services for improved performance and cost-efficiency, • Collaborate closely with cross-functional teams, including Architects, Product Managers, and other engineering leads, to deliver innovative solutions., • Provide mentorship and guidance to junior developers, fostering growth and sharing best practices., • Implement and maintain CI/CD pipelines, • Ensure high-quality code through peer reviews, automated testing, and adherence to software development standards., • Create comprehensive documentation for the developed shared components, including usage guidelines and examples. Essential: • 8+ years of expertise in backend development, with proficiency in Java and experience with serverless frameworks (e.g., AWS Lambda, Google Cloud Functions)., • Hands-on experience with frontend technologies (e.g., React, Web Components)., • Strong understanding of distributed systems, scalability, and data modeling., • Proven ability to work effectively in cross-functional teams and collaborate with stakeholders across various locations, including distributed teams based in Europe and the USA, to deliver impactful solutions., • Practical experience in cloud technologies and frameworks, specifically developing serverless applications on AWS using technologies such as lambda, DynamoDB, API Gateway and SNS/SQS/EventBridge., • Extensive experience with software development best practices (e.g. design patterns, test-driven development, code profiling, debugging)., • Experience with CI/CD tools, including build, deployment and test automation., • Ability to communicate effectively with both technical and non-technical colleagues in agile environments., • A passion for mentoring and developing the skills of junior engineers., • Preferred Qualifications, Skills, and Knowledge/Experience, • Understanding or experience with AI/ML. Tii Elements: • Action and Ownership, Accountability, • Educator, • Collaboration, • Quality Focus, • One Team Total Rewards @ Turnitin At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work. Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates. In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do., • Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe., • Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard., • One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes., • Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world. Global Benefits • Remote First Culture, • Health Care Coverage*, • Education Reimbursement*, • Competitive Paid Time Off, • Self-Care Days, • National Holidays*, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time*, • Charitable contribution match*, • Monthly Wellness or Home Office Reimbursement/*, • Access to Modern Health (mental health platform), • Parental Leave*, • Retirement Plan with match/contribution*, • varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team! #LI-AP1

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. The Customer Experience Engineer – Technical (CXE-T) is a post-sales technical subject matter expert responsible for scaling deep product adoption through 1:many technical enablement, structured Proof of Concepts (PoCs), and high-impact technical assets. Unlike traditional program or lifecycle roles, this position is focused on technical depth and applied architecture guidance. The CXE-T designs and delivers scalable technical sessions, builds reusable PoC frameworks, produces advanced technical recordings and blogs, and serves as an escalation point for non-support Solutions Engineering–type questions across customer cohorts. This role amplifies impact across large customer populations through structured enablement systems, while occasionally leading targeted 1:1 workshops for high-impact customers or strategic technical initiatives. 1:Many Technical Enablement Design and deliver advanced technical sessions (webinars, live builds, architecture deep dives, workshops) for platform, DevOps, security, and engineering audiences. Create structured enablement series aligned to customer maturity stages (e.g., secure SDLC, supply chain hardening, container governance). Develop repeatable technical learning paths that drive adoption beyond initial onboarding. Structured PoCs & Applied Architecture Design scalable PoC frameworks that customers can adopt independently or via cohort-based execution. Define technical success criteria and evaluation benchmarks for common adoption scenarios (e.g., policy enforcement, image integrity, SBOM visibility, secure pipelines). Translate Docker capabilities into practical architectural patterns customers can implement. On exception, lead 1:1 customer workshops or guided PoCs for complex or high-value technical initiatives. Technical Content & Thought Leadership Produce deep technical assets: Recorded walkthroughs Architecture reference guides Advanced implementation blogs Reusable demo environments Build assets that directly support customer journey stages and remove common technical blockers. Act as a field-informed voice into Product and Engineering, surfacing real-world technical friction. Technical Advisory & SE/SA Overflow Support Serve as a subject matter expert for non-support technical questions that exceed standard documentation. Provide architectural guidance across: Secure build pipelines Software supply chain integrity Container security and governance AI/ML workload governance (where applicable) AI agent architecture patterns: isolated execution environments, MCP policy enforcement, model artifact provenance Partner with Sales Engineers and Post-Sales teams to ensure technical continuity without owning deal cycles. You are a deeply technical practitioner who enjoys teaching, systematizing expertise, and scaling architectural excellence across customer populations. You prefer building reusable technical systems over repetitive 1:1 firefighting, but can step into consultative workshops when required. Required 5+ years in Solutions Engineering, Technical Account Management, DevOps, Platform Engineering, or similar technical roles. Strong hands-on expertise in: Docker and container ecosystems Secure software supply chain practices CI/CD pipelines and modern cloud-native architecture Experience designing and executing structured PoCs with defined success criteria. Ability to present complex technical topics clearly to senior engineering audiences. Strong written communication skills; experience producing technical blogs or deep technical content. Preferred Hands-on experience with AI/ML development workflows, including model packaging, dependency management, reproducibility, and governance considerations within containerized environments. Practical Experience with AI coding agent runtimes and sandboxed execution environments (e.g., agent isolation, MCP tool governance) Familiarity with Docker SBX and MCP Gateway as enterprise controls for agentic AI workloads Familiarity with secure software supply chain practices, including SBOM generation and consumption, artifact signing, provenance (e.g., SLSA concepts), vulnerability management, and policy enforcement. Deep understanding of the container image lifecycle, including build optimization, image hardening, base image strategy, registry governance, promotion workflows, and lifecycle management from development through production. Practical experience implementing or advising on Secure Software Development Lifecycle (SSDLC) practices, including secure build pipelines, policy-as-code, compliance controls, and DevSecOps integration. Exposure to governance frameworks or regulatory models impacting modern development environments (e.g., NIST guidance, EU AI Act, internal enterprise policy frameworks). Experience designing reusable lab environments, demo frameworks, or reference architectures for engineering audiences. Background in Platform Engineering, DevSecOps, or Security Architecture roles where architectural decisions directly influenced developer experience and risk posture. Primary Goal: Build product mastery, understand recurring customer friction patterns, and identify high-leverage enablement opportunities. Deeply immerse in Docker platform capabilities across security, supply chain, governance, and developer workflows, with particular focus on AI Gov and MCP Gateway as emerging customer conversation areas ahead of GA. Review existing CXE, SE, and Post-Sales materials to identify: Common architectural blockers Repeated SE/SA escalation themes Gaps in advanced technical documentation Shadow live enablement sessions and recent PoCs to understand maturity gaps. Audit current technical assets (recordings, demos, blogs) for depth and reusability. Define 2–3 high-impact technical themes where scalable enablement can reduce friction. Outcome by Day 30: Clear map of recurring advanced technical questions. Identified priority PoC/use-case patterns to formalize. Proposed first scalable technical asset or session outline. Primary Goal: Launch repeatable technical enablement and codify structured PoC frameworks. Design and deliver at least one advanced 1:many technical session (live or recorded). Build a structured PoC framework for a priority adoption scenario: Defined success criteria Clear architectural reference pattern Reusable demo environment or walkthrough Publish at least one deep technical asset (e.g., advanced blog, architecture guide, recorded lab). Establish lightweight intake process for non-support technical advisory questions. Partner with SE/Post-Sales to ensure technical consistency across pre- and post-sales. Outcome by Day 60: At least one repeatable enablement session running. One codified PoC pattern reusable across customer cohorts. Measurable reduction in repeated advanced technical questions in a target area. Primary Goal: Operate as the recognized post-sales technical authority and multiplier. Deliver a structured enablement series aligned to a customer maturity theme (e.g., secure pipelines, governance implementation). Expand PoC frameworks into reusable “customer-ready” kits. Develop a technical content backlog aligned to customer journey stages. Contribute field-informed feedback to Product and Engineering based on: Architectural friction Governance gaps Adoption blockers On exception, lead 1:1 advanced workshop or guided PoC for a high-impact customer use case. Outcome by Day 90: Demonstrable lift in technical adoption across a defined customer cohort. Library of scalable technical assets supporting key journey stages. Recognized internally as the go-to SME for advanced post-sales architecture questions. Docker does not offer visa sponsorship for this role. Compensation & Equity EU: €70,700K – €101K + equity Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave (after 6 months of employment) Technology stipend equivalent to $100 USD net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

This role operates primarily on a remote working arrangement that will require little to no travel into our Coventry head office or local campus.Our working model arrangements are a non-contractual benefit so please note that an Arden work location is added to our employment contracts.We are an aspi

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 .

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. Staff Software Engineer – Identity and Access, Identity Squads This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. The Opportunity: Every day, millions of users rely on Grafana to monitor the health and performance of their critical systems, from software applications to factories and even space shuttles. Our mission is two-fold: to provide a seamless and effortless sign-in experience for all users, and to ensure administrators have complete peace of mind, knowing that every user has secure access to precisely the data and functionality they need. The Identity and Access team at Grafana manages all aspects of authentication and authorization, working across both our open-source and proprietary codebases. The Identity squad, within the team, owns the authentication layer — the protocols and flows that determine how every Grafana user proves who they are. We actively implement cutting-edge authentication protocols such as MCP OAuth (OAuth 2.1), OIDC, SAML, LDAP, and SCIM, rather than relying on off-the-shelf components. We are completely redesigning Grafana’s authentication at the edge — a rare opportunity to shape the technical direction of authentication infrastructure at scale, with a direct impact on millions of users every day. Our code paths sit in the critical hot paths across Grafana’s services, making every millisecond of performance essential. As a Staff Engineer, you will be central to defining how we evolve these systems. What You’ll Be Doing: As a Staff Engineer on the Identity squad, you will set the technical direction for our authentication systems and lead the most complex initiatives from conception through delivery. You will collaborate closely with engineering leadership, product management, and cross-functional partners to define how Grafana authenticates millions of users every day. • Approximately 55% of your time will be dedicated to backend development (Golang), 25% to technical leadership and cross-team collaboration, and 20% to operations and reliability., • Define and own the technical architecture for the Identity squad’s authentication systems, including our edge authentication redesign., • Lead the design and implementation of large-scale, multi-quarter initiatives in the critical path of user interaction, spanning multiple services and teams., • Mentor and develop senior engineers, providing technical guidance, design feedback, and support for their professional growth., • Serve as a technical authority for identity protocols at Grafana, driving alignment on how we implement and evolve OAuth, OIDC, SAML, LDAP, and SCIM across the organization., • Drive cross-team technical alignment on authentication standards, patterns, and best practices across Grafana’s engineering organization., • Represent Grafana Labs at meetups and conferences, and contribute to the broader identity and authentication community. 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 strong communication skills are essential. What Makes You a Great Fit: • Deep, proven expertise in distributed systems engineering with Go, with a track record of owning and delivering large-scale production systems end-to-end., • Demonstrated ability to define technical direction and drive architectural decisions independently, with impact that extends beyond your immediate team., • Extensive experience building and operating low-latency, high-throughput services in distributed, multi-tenant environments., • Proven track record of leading and delivering complex, multi-quarter initiatives that span multiple teams or systems., • Ability to mentor and develop senior engineers, elevating the technical quality and capabilities of those around you., • Strong understanding of SLOs, SLIs, error budgets, and how to design systems that balance reliability, security, and product velocity., • Excellent written and verbal communication skills in English; able to clearly convey complex technical decisions to diverse audiences, including engineering leadership and non-technical stakeholders., • Expert-level understanding of modern identity standards and threat models (OAuth 2.x / 2.1, OIDC, SAML), and how to implement them securely at scale. Bonus Points For: • Familiarity with Kubernetes., • TypeScript/React experience., • Experience working with OpenFGA and KiFederate IDP., • Experience working in security critical environments., • Experience contributing to or maintaining Open Source projects., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry). Compensation & Rewards: In the UK, the Base compensation range for this role is £100,000 - £124,000. 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 .

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to_and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to _, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio’s next Senior Software Engineer. About the job This position is needed to deliver the best-in-class Twilio SDK experience for our customers. Twilio’s SDK engineering team builds robust, powerful SDKs and a GraphQL layer to enable developers build their own Contact Center UIs and real-time AI Contact Center products. Many other teams rely on integrating and exposing their services via the Unified SDK layer to deliver their advanced features to our customers. The position is especially critical in supporting Twilio’s expansion and will be central to creating a core product that provides leverage to all of Twilio’s Flex Contact Center and engineering teams! Responsibilities In this role, you’ll: • Design, build, and maintain large-scale backend services with a focus on reliability, availability, scalability, and performance., • Lead technical design efforts and ensure architecture decisions are well-documented and future-proof., • Collaborate closely with senior engineers, product managers, and cross-functional stakeholders., • Champion high-quality engineering practices, including automated testing, maintainable code, and thorough documentation., • Own and continuously improve Twilio’s developer experience for SDK customers., • Support customers by troubleshooting issues and promoting backend and SDK best practices., • Contribute to operational excellence by maintaining a high reliability bar and participating in incident response and system improvements. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: • Bachelor’s/Master’s in Computer Science, Engineering, or related field., • 5+ years of experience building and operating cloud-scale backend systems., • Strong programming skills in backend languages such as Java or Scala., • Experience authoring technical specifications and delivering end-to-end system designs., • Strong fundamentals in concurrency and distributed systems., • Experience working with AWS or other cloud platforms at scale., • Proven ability to maintain a high operational excellence bar and mentor junior engineers on reliability and maintainability., • Strong communication skills and the ability to thrive in collaborative, fast-moving teams. Desired: • Excellent problem-solving and critical thinking skills., • Any prior experience building SDKs and GraphQL BFF layer is an added advantage., • Ability to establish backend engineering guidelines and represent the team within the broader Twilio engineering organization., • Passion for delivering high-quality products and continuously learning new technologies., • Strong sense of ownership and accountability., • Comfortable navigating ambiguity and driving clarity in evolving environments. Location This role will be remote and based in the UK Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call . Additionally, we empower employees to build by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, _ Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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!

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Senior Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: Designing and implementing robust event-driven microservices and APIs Building scalable, cloud-native systems on AWS Developing modern, responsive React front-ends Integrating LLM-powered capabilities into real-world workflows Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: Node.js and TypeScript React and modern front-end tooling AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS) NestJS or equivalent back-end frameworks Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: Experience building production systems using Node.js / TypeScript Hands-on experience developing UIs with React Solid understanding of cloud-native engineering on AWS Experience with microservices, messaging patterns and distributed systems A commitment to clean code, testing, observability and operational excellence A proactive and motivated mindset — someone who wants to build, ship and iterate quickly Interest in AI-powered products and a drive to learn Benefits at Aveni What you’ll love Remote-first working across the UK. Work abroad policy for when you want a change of scenery. Co-working spaces available if you want an office buzz sometimes. 34 days holiday (including flexible bank holidays) and your birthday off. Company-wide off-sites (yes, karaoke may happen). Optional Personal Development Plan. Flexible benefits platform: you choose the benefits that matter most to you (not the company). Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions). Private health- and dental care for your peace of mind. Potential share options, have a stake in what you’re building. Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

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 The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You'll Be Doing • Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers, • Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility, • Delivering product and technical presentations to potential and existing customers, • Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape, • Driving product conversations based on need and problems with customers, • Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes you a Great Fit: • 5+ years of technical pre-sales experience, • Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership, • You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products, • You love solving technical challenges and thrive on bringing creative solutions to our customers, • You should have a technical mindset and a desire to grow technically., • Must be located in the UK Bonus Points For: • Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage, • Experience with sales methodologies like MEDD(P)ICC is a plus Compensation & Rewards In the UK, the OTE (On-Target Earnings) compensation range for this role is £99,000 - £124,000. 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 .

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 As a Software Engineer on the Olo Network team, you will play a key role in designing and building the user-facing products and services that connect leading restaurant brands with their customers. Your work will centre on developing robust APIs powering a new mobile application, offering an exciting blend of greenfield engineering opportunities alongside the continued evolution of an established platform. You will join a collaborative, experienced engineering team distributed across Northern Ireland and the United States, bringing your skills to a group that values craftsmanship, innovation, and meaningful impact at scale. • Design and implement scalable, high-quality components and services that align with team and company goals., • Contribute to technical decision-making, including solution design and architecture, with a focus on addressing technical debt, reliability, and system performance., • Collaborate closely with product managers, designers, and stakeholders to translate customer needs into technical solutions., • Proactively monitor and improve system performance, identifying and resolving issues swiftly and effectively, while communicating clearly and effectively with stakeholders during incidents to ensure alignment and prompt resolution., • Take a proactive approach to support, digging into issues to identify root causes and developing long-term, proactive solutions to prevent recurrence., • Document and share knowledge effectively to elevate the team’s technical expertise., • Champion best practices in software development, agile methodologies, and continuous improvement., • Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience., • 4+ years of experience in software engineering, with excellent knowledge of C#, .NET, plus experience on the Front-End with Typescript/React., • Experience with cloud services like AWS and familiarity of containerisation with Docker and EKS., • Experience with Elasticsearch/OpenSearch or similar search solutions will be advantageous., • Experience writing unit tests and testable code., • Demonstrate strong problem-solving skills and the ability to navigate deep technical challenges., • Exhibit excellent judgment, seeking diverse perspectives and challenging assumptions to improve outcomes., • Deliver constructive feedback that empowers individuals and strengthens the team., • Communicate technical concepts clearly, adapting to both technical and non-technical audiences., • Consistently meets sprint and quarterly commitments while maintaining high standards of quality and efficiency. 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.

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

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 .

We are looking for a UK remote DevOps engineer responsible for designing, building, and maintaining our clients ' Azure cloud infrastructure and CI/CD pipelines. The Cultural fit is vital for the success of this role. The company's values are Human; overdeliver; honesty; working collaboratively. If these values resonate with you, then please get in touch with me, What will you be doing on a day to day basis: The focus is on hosting and scaling their .NET applications, ensuring they are secure and run reliably for retail customers around the clock. Automation is key, and tenacity and drive are major aspects of the role. You will work closely with the Head of Technology Delivery and the broader engineering team, provisioning and operating their Azure environment, building and maintaining their deployment pipelines, and keeping the platform observable, secure, and cost-efficient. You will make active use of AI coding assistants to accelerate infrastructure and automation work. While ownership of the security posture, disaster recovery, business continuity, and incident response sits with the Head of Technology Delivery, you will play a central role in implementing and maintaining the controls, backups, and monitoring that underpin these, and in supporting incident resolution when issues arise. The reliability, performance, and efficiency of the platform depend directly on the quality of the work you do, making this a role of significant technical responsibility. The business is a well-funded business with excellent revenues, yet it has only 20 staff, and the opportunity to grow into a dependable leader is a given. At this stage, the role carries no staff responsibility, but as you grow, the opportunity will no doubt follow to add more members. Responsibilities: ● Design, deploy, and manage infrastructure on Azure using Bicep and Terraform, following infrastructure-as-code standards and promoting automation across the team. ● Build and maintain hosting environments for our .NET applications, including Azure App Services, Azure SQL, Storage Queues/Tables, and Cosmos DB. ● Develop and maintain CI/CD pipelines for automated build, test, and deployment across all environments. ● Make effective use of AI coding assistants (e.g. GitHub Copilot) to accelerate the creation of pipelines, IaC templates, and automation scripts. ● Monitor infrastructure performance, cost, and security across environments, troubleshooting issues and flagging risks proactively. ● Implement and maintain the security controls, access controls, patching, and backup routines defined by the Head of Technology Delivery, and support disaster recovery and business continuity testing. ● Support incident response for infrastructure and platform issues, carrying out day-to-day triage and resolution and contributing to post-incident improvements. ● Implement tools for threat detection, vulnerability management, and security reporting to help mitigate issues and ensure compliance. ● Collaborate with the development team to support application architecture and deployment best practice, as well as enforcing secure coding standards. Skills and Experience: ● 5+ years of experience in a DevOps / Cloud Engineering role. ● Strong hands-on experience with Azure cloud services. ● Proficiency in Terraform and Bicep for infrastructure-as-code. ● Experience hosting and supporting .NET applications in production. ● Solid understanding of Azure App Services, Azure SQL, Storage Queues/Tables, and Cosmos DB. ● Experience with CI/CD tooling (e.g. Azure DevOps, GitHub Actions). ● Comfortable using AI coding assistants (e.g. GitHub Copilot) to speed up scripting and pipeline development. ● Security-conscious mindset, able to implement and maintain controls defined by others and flag gaps. ● A collaborative and pragmatic approach, able to work effectively alongside developers and communicate infrastructure concepts clearly to non-specialists. Ideal Qualifications: ● Microsoft Certified: DevOps Engineer Expert (AZ-400). ● HashiCorp Certified: Terraform Associate. ● Familiarity with monitoring/observability tools, eg: Azure Monitor, Application Insights. Personal Profile: ● Demonstrates tenacity, perseverance and willingness to 'get the job done'. ● Accountable: lives up to commitments and follows through diligently. ● Problem-solver: proactively diagnoses issues and delivers suitable solutions. ● Can work independently but enjoys being part of a team. ● Willingly shares knowledge with peers and uses own initiative and resources to gain further expertise. ● Close attention to detail. Great benefits package and competitive salary

Location As a Financial Systems Engineer, you will be part of Business Systems Engineering, a group of several teams that builds and runs the systems the company operates on. This role is based remotely in the United States (Eastern time zone), the UK, or Ireland. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers are operating in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multi-cloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, Microsoft Azure and Ingram Micro, we work alongside more than 4,000 customers worldwide. The Opportunity We are modernizing how we run our financial systems and bringing this work in-house, and we're looking for a Financial Systems Engineer to own it. You will own our financial systems - NetSuite today, with FloQast and Ramp coming online - as an engineer, not just an administrator. What sets this role apart is mindset. You are the kind of person who is averse to doing the same manual task twice and instinctively looks for ways to automate it away. You will own the configuration and business logic of the financial systems, keeping each one doing what it does best, and partner with our internal engineering team on cross-system integration rather than wiring it together by hand. This is a high-ownership role serving Finance and Accounting directly. You will be their dedicated systems partner - someone who knows the platforms deeply, is invested in making them better, and treats reducing manual, error-prone work as the core of the job rather than something to do on the side. Reporting to the Manager of Enterprise Systems, you will have real room to shape how finance operations run as the company scales Responsibilities • Own and administer our core financial systems - NetSuite today, with FloQast and Ramp coming online - including configuration, business logic, and day-to-day system health., • Identify manual, recurring, or error-prone finance operations (month-end close, reconciliations, reporting, procure-to-pay) and reduce or remove them through automation, choosing the simplest effective approach and partnering with engineering for heavier builds., • Serve as the business-logic and data expert for the finance domain, partnering with engineering to define and maintain the rules and canonical definitions the systems rely on., • Build cross-system integrations on a central, version-controlled, observable integration platform in partnership with engineering, rather than as one-off scripts buried inside individual tools., • Act as the dedicated systems partner to Finance and Accounting: translate their needs into system capability, own those working relationships, and serve as the technical owner for financial-vendor onboarding, configuration, and administration., • Use modern AI tooling to draft automations and accelerate routine system work, amplifying your output rather than adding manual effort. Qualifications • 3-6 years administering a financial or ERP system, with hands-on NetSuite administration required, including:, • configuration, customization, user access, roles, permissions, and workflows;, • core modules such as General Ledger, Advanced Revenue Management, Accounts, and subsidiary / multi-location structures;, • designing and implementing custom records, fields, and automations;, • building SuiteFlow automations in response to changing business needs;, • managing the NetSuite integration ecosystem., • A working understanding of core finance and accounting processes: month-end close, reconciliation, accounts payable / procure-to-pay, and revenue., • A strong drive to eliminate repetitive manual work, with a demonstrated track record of automating it (e.g. scripting, saved searches, workflow automation, or low-code/iPaaS tools)., • Sound judgment about where logic belongs - what should be system configuration, what should be a cross-system integration, and which system is the source of truth for a given piece of data., • Comfort with at least one of SuiteScript, SQL, general scripting, or API-based automation, and the ability to read and reason about integrations even when engineering builds them., • Strong collaboration and communication across both finance and engineering teams, with the ability to translate between them., • Fluent English; knowledge of any other language is an advantage. Bonus Points: • FloQast and/or Ramp administration experience., • Experience working against a central integration platform or in an event-driven environment., • Comfort using AI coding and automation tools in day-to-day work., • Depth in SuiteScript (1.0 / 2.0), RESTlets, or NetSuite web services. Are you a Do’er? Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our _. Sounds too good to be true? Check out our_. We thought so too, but we’re here and happy we hit that ‘apply’ button. Full-time employee benefits include: • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend, • Peer Recognition Program Many Do’ers, One Team DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. #LI-Remote

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

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 .