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Reliability Engineer Appley Bridge (North West) Full Time | Permanent | 40 hours per week The Opportunity We are recruiting for a Reliability Engineer to join a well-established and growing manufacturing organisation in the North West. This is a key role focused on improving plant performance, reducing downtime, and driving continuous improvement across production and utility assets. You'll play a pivo... ZIPC1_UKTJ

HGV / Trailer FitterWe are seeking a skilled and motivated HGV / Trailer Fitter to join a growing engineering and transport support operation. This role offers the opportunity to work on a diverse fleet of HGVs, trailers, specialist transport equipment, and associated plant machinery, ensuring all vehicles and equipment are maintained to the highest standards of safety, reliability, and compliance.Based from a fully equipped workshop, you will be part of an experienced team responsible for servicing, repairing, inspecting, and fault-finding across a varied fleet that supports operations throughout the UK.This is a hands-on position suited to an experienced fitter who enjoys working on a range of mechanical, hydraulic, pneumatic, and electrical systems.Key ResponsibilitiesCarry out routine servicing, maintenance, and repairs on HGVs, trailers, and specialist transport equipment.Diagnose and rectify mechanical, hydraulic, pneumatic, and electrical faults.Conduct trailer inspections, MOT preparations, and safety checks in line with DVSA requirements.Perform repairs on braking systems, suspension, axle assemblies, lighting systems, and running gear.Maintain and repair ancillary equipment including generators, lighting towers, and small plant machinery.Complete all maintenance records and inspection documentation accurately.Ensure all work is completed safely and in accordance with company procedures and industry regulations.Support breakdown response and emergency repairs when required.Assist with fleet compliance, vehicle inspections, and preventative maintenance schedules.About YouProven experience as an HGV Technician, HGV Fitter, Trailer Fitter, Fleet Engineer, or similar role.Relevant engineering qualification, apprenticeship, or time-served experience.Strong understanding of HGV and trailer maintenance practices.Experience working with braking systems, hydraulics, pneumatics, suspension systems, and vehicle electrics.Ability to diagnose faults and carry out repairs independently.Knowledge of DVSA inspection standards and vehicle compliance requirements.Welding and fabrication experience would be advantageous.Strong attention to detail and commitment to safe working practices.Full UK driving licence (HGV licence advantageous but not essential).Positive attitude with the ability to work both independently and as part of a team.What's on OfferCompetitive salary and overtime opportunities - 7.5 hours overtime guaranteed per weekLong-term career stability within a well-established engineering operation.Exposure to a varied fleet of HGVs, trailers, and specialist equipment.Ongoing training and development opportunities.Company pension scheme.Life assurance and additional employee benefits.Employee rewards and recognition programme.Annual bonus schemeImportant Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, NMS Recruit will be acting within your interest and will contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please get in touch with us here.TPBN1_UKTJ

HGV / Trailer FitterWe are seeking a skilled and motivated HGV / Trailer Fitter to join a growing engineering and transport support operation. This role offers the opportunity to work on a diverse fleet of HGVs, trailers, specialist transport equipment, and associated plant machinery, ensuring all vehicles and equipment are maintained to the highest standards of safety, reliability, and compliance.Based from a fully equipped workshop, you will be part of an experienced team responsible for servicing, repairing, inspecting, and fault-finding across a varied fleet that supports operations throughout the UK.This is a hands-on position suited to an experienced fitter who enjoys working on a range of mechanical, hydraulic, pneumatic, and electrical systems.Key Responsibilities • Carry out routine servicing, maintenance, and repairs on HGVs, trailers, and specialist transport equipment., • Diagnose and rectify mechanical, hydraulic, pneumatic, and electrical faults., • Conduct trailer inspections, MOT preparations, and safety checks in line with DVSA requirements., • Perform repairs on braking systems, suspension, axle assemblies, lighting systems, and running gear., • Maintain and repair ancillary equipment including generators, lighting towers, and small plant machinery., • Complete all maintenance records and inspection documentation accurately., • Ensure all work is completed safely and in accordance with company procedures and industry regulations., • Support breakdown response and emergency repairs when required., • Assist with fleet compliance, vehicle inspections, and preventative maintenance schedules.About You, • Proven experience as an HGV Technician, HGV Fitter, Trailer Fitter, Fleet Engineer, or similar role., • Relevant engineering qualification, apprenticeship, or time-served experience., • Strong understanding of HGV and trailer maintenance practices., • Experience working with braking systems, hydraulics, pneumatics, suspension systems, and vehicle electrics., • Ability to diagnose faults and carry out repairs independently., • Knowledge of DVSA inspection standards and vehicle compliance requirements., • Welding and fabrication experience would be advantageous., • Strong attention to detail and commitment to safe working practices., • Full UK driving licence (HGV licence advantageous but not essential)., • Positive attitude with the ability to work both independently and as part of a team.What's on Offer, • Competitive salary and overtime opportunities - 7.5 hours overtime guaranteed per week, • Long-term career stability within a well-established engineering operation., • Exposure to a varied fleet of HGVs, trailers, and specialist equipment., • Ongoing training and development opportunities., • Company pension scheme., • Life assurance and additional employee benefits., • Employee rewards and recognition programme., • Annual bonus schemeImportant Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, NMS Recruit will be acting within your interest and will contact you in relation to the role, either by email, phone or text message. For more information see our on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please get in touch with us .

The salary for this role is £50,000 - £52,000 This role is advertised on a 12 month fixed term contract. Do you have hands-on experience supporting and optimising Azure integration platforms, including CI/CD pipelines and live production environments? Are you confident designing, managing, and securing Azure AD B2C identity flows and API Management (APIM)? Can you develop, maintain, and troubleshoot cloud solutions using multiple technologies and languages—such as C#, Azure Functions, and Web Apps—while embedding security and quality into your code? If so, we’d love to hear from you! At Livestock Information Ltd, our mission is to be an outstanding service provider of livestock data, empowering government, industry, and farmers to effectively manage disease and infection control, whilst enhancing productivity and innovation in agriculture. To achieve this, we need great people, who share in our values. As an Azure Integration Engineer, you’ll play a key role in keeping our platforms running smoothly and securely. Your day will involve monitoring systems, fixing issues as they arise, and working closely with development teams to improve CI/CD pipelines and delivery processes. You’ll also look after Azure B2C identity flows and API Management (APIM), helping ensure seamless and secure integrations. Alongside this, you’ll support security activities using tools like Defender for Cloud, SonarCloud, and ZAP, respond to support requests, and help prepare for upcoming releases and projects. Your responsibilities will include • Providing timely and efficient break-fix support to resolve system issues and minimise downtime in line with Service Level Agreements including out-of-hours., • Monitoring system performance, availability, and capacity, performing infrastructure and code optimisation to ensure efficiency and reliability., • Providing 3rd line support for the Azure customer identity and integration services and address escalated issues while coordinating with internal teams to maintain service uptime., • Implementing real-time monitoring tools for applications and under lying infrastructure., • Setting up proactive alerts and developing incident response procedures to identify, respond to, and resolve incidents efficiently., • Monitoring system health and providing timely feedback on performance and potential risks to service availability., • Conducting regular vulnerability assessments, enforce security policies, and ensure patching and system hardening measures are applied., • Adhering to corporate Information Security Policies, Azure Security Benchmark, and CIS controls., • Supporting development teams with technical guidance, ensuring robust and secure applications or services., • Collaborating on new projects and enhancements to ensure customer identity and integration requirements are met.. You may be required to undertake other duties assigned by your line manager as appropriate We are looking for someone with the following • Experience in providing high-quality break-fix support in a fast-paced environment., • Proven ability to monitor and maintain complex cloud-based systems, ensuring uptime and performance., • Experience of managing Azure subscriptions and Azure resources efficiently., • Expertise in managing customer identity using Azure AD B2C., • Experience in creating and configuring applications in Azure., • OpenID, OAuth2.0 & SAML2.0: Knowledge of identity and access protocols., • Experience in creating and customizing user flows in Azure AD B2C., • Strong understanding of user management and custom attributes in Azure AD B2C., • UX/UI Customization in AD B2C User Flows: Ability to customize user experience flows., • Knowledge of claims providers and technical profiles in B2C., • Ability to create complex and customized user flows based on requirements., • Hands-on experience with Microsoft Graph API and MSAL for managing identities., • Understanding of SSL certificates and security best practices., • Experience in implementing custom policies using the Identity Experience Framework in Azure AD B2C., • Experience with APIM, including security and cloud-to-cloud integration., • Hands-on experience in developing Azure Functions, Web Apps, and C# programming., • Experience in user administration, group assignment, and role management in the Azure AD B2C portal., • Proficiency in using Azure Blob storage, Application Insights, and monitoring tools., • Expertise in building and automating CI/CD pipelines for efficient software delivery from development to production in Azure DevOps., • Hands-on experience maintaining and deploying SonarCloud and Zed Attack Proxy (ZAP) in a CI/CD pipeline for code quality and security scanning. This role will report to the Azure Engineering Manager and will sit within our Service department. As an LI employee, you will be entitled to our company benefits which include • A fully remote and flexible working set up, • 25 days annual leave, increasing by 1 day each year of service up to maximum of 30 days (plus Bank Holidays), • 1 Privilege Day, • 4 x annual salary Life Assurance, • Market leading pension scheme through Legal & General, • Enhanced Family Friendly Policies, • Excellent learning, training, and career development opportunities, • 24/7 access to our Employee Assistance Programme, • A diverse and inclusive culture where everyone is respected and valued To apply for this role, you will need to submit a CV and answer some pre-screening questions. The interview and assessment process for this role will involve a telephone interview with our Talent Team, followed by a first stage and a final stage interview. Interviews will be conducted either remotely via MS Teams or face to face. If we need to make a reasonable adjustment so that you can complete your application, please contact us as soon as possible by emailing _ before the closing date to discuss your needs. Please note that we may close the advert early if we receive a high volume of applications Artificial intelligence tools can be used to help you prepare your application. However, all statements and examples provided during the recruitment process should be accurate and based on your own knowledge and experience. Applications may be withdrawn if content is found to be plagiarised, including where ideas or experiences generated by artificial intelligence are presented as personal work. For further information, please click on the following link : We approach our work with TACT; we are Transparent, Accountable, Committed and we work as a Team. We are transparent together, embracing honesty and building trust. We are accountable to the industry and strive for the best possible solutions for the communities we serve. We drive change with passion, commitment and enthusiasm to deliver a great service to the livestock industry. We work kindly and cohesively which allows us to support each other in our personal and strategic goals. For more information on our values and what its like to work at Livestock Information, please visit our Careers Page : _ At Livestock Information Ltd, we have a zero-tolerance approach to harassment, abuse, discrimination, or bullying during our recruitment process. Any such behaviour may result in a candidate being withdrawn from consideration We are committed to upholding our company values and ensuring a safe and respectful experience for all candidates and staff. We’re a fully remote organisation however, our roles are UK-based and can only be performed within the UK. We come together in person twice a year for our All Hands events to connect, collaborate, and strengthen relationships. From time to time, there may also be occasional in-person team meetings. At Livestock Information, we value diversity and believe that every individual brings different strengths. We understand that not everyone may possess every single skill outlined in this job description, but if you believe you have a solid skill set that enables you to excel in this position then we really encourage you to apply. If you feel your application has not been treated in a fair and open manner or if you are dis-satisfied with any of your interactions during the recruitment process and you wish to make a complaint, you should contact our Talent team via email: talent@livestockinformation.org.uk Livestock Information Ltd. cannot sponsor work visas at this time. Livestock Information Ltd. Does not discriminate based on race, sex, colour, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Livestock Information Ltd. Does not accept unsolicited CVs from any source other than directly from a candidate. Any unsolicited CV’s not originating directly from a candidate and sent to Livestock Information Ltd or any Livestock Information Ltd employees, including unsolicited CVs sent to a Livestock Information Ltd mailing address or email address, are rejected. Livestock Information Ltd will NOT pay a fee for any placement resulting from the receipt of an unsolicited CV. Livestock Information Ltd considers any candidate for whom the recruiter has submitted an unsolicited CV referred by the company free of any fees.

Maintenance EngineerBolton3 Shift Pattern£48,000 + BonusA leading global automotive supplier specialising in advanced vehicle components and systems for major OEMs worldwide.Join a world-class team driving the future of automotive manufacturing We are a premier Tier 1 automotive supplier with a strong presence in the UK, delivering innovative, high-quality components to the world's leading vehicle manufacturers. Our Bolton facility is a key high-volume production site focused on precision assembly and testing systems, and we are now seeking an experienced Maintenance Engineer to join our dynamic engineering team.This is a hands-on role ideal for a proactive, skilled tradesperson who thrives in a fast-paced, high-output manufacturing environment. You will play a critical role in maximising equipment uptime, driving continuous improvement, and supporting our commitment to world-class production standards.Responsibilities – Maintenance EngineerTroubleshooting, repair, and maintenance of high-volume PLC-controlled production equipmentPlanning and performing preventative maintenance on critical assetsImprovement and modification of assembly/test equipment and transfer systemsService and maintenance of electrical and mechanical site services/plantSupporting the installation and commissioning of new equipmentExperience/Qualifications - Maintenance EngineerIdeally qualified to ONC/HNC level (or equivalent) in Mechanical/Electrical Engineering, supported by City & Guilds Part 3 (or similar) and NVQ Level 2 & 3Time-served apprenticeship in a relevant engineering disciplineSignificant hands-on experience (minimum 2+ years) in high-volume manufacturing environmentsProven track record in equipment repair, maintenance, and process improvementExperience in fitting, fabrication, and machining is highly advantageousStrong background in maintenance and fault-finding on PLC-controlled and robotic high-volume equipment (ideal but not essential)Solid experience maintaining and diagnosing faults in hydraulic and pneumatic systemsBenefits - Maintenance EngineerDiscretionary annual Bonus 7.5%up to 5.5% employer contributionEV Scheme: through salary sacrifice and free charging at siteMedical InsuranceDeath in Service: 4 x annual salaryFor more information on this role, please contact Andy Haddon on 01453 796617, or send a copy of your CV toFor details of other opportunities available within your chosen field, please visitOmega is an employment agency specialising in opportunities at all levels within the Engineering, Manufacturing, Aerospace, Automotive, Electronics, Defence, Scientific, Energy & Renewables and Tech sectors.Ideal background / Previous roles may include: Maintenance Engineer, Shift Engineer, Shift Technician, Reliability Engineer or field service engineerOmega is acting as an Employment Agency in relation to this vacancy. Omega does not charge candidates any recruitment or job-seeking fees at any stage of the hiring process.TPBN1_UKTJ

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! We are looking for a Principal Software Engineer (Docker Agents) to join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You’ll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker’s container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) Integrate into our AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture, project roadmap, and the developer problems we’re solving Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities Contribute initial improvements to cagent and the containerized agent runtime foundations Lead significant platform features or architectural improvements to cagent and our containerized agent ecosystem Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience Mentor engineers through design reviews and help accelerate onboarding and execution Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces) Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery 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

Software Engineer (AI-Forward) As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school. What you will be doing • Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you., • Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them., • Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between., • Owning the reliability, security, and cost of both classical systems and LLM pipelines., • Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI., • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code. What you will NOT be doing • Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you., • Writing tickets for junior engineers to implement., • Sitting in status meetings all day — few meetings, more shipping., • Working on a narrow slice of a giant codebase. Key responsibilities • Ship production code and AI features real students, parents, and staff rely on every day., • Own at least one major system end-to-end., • Move fast — features go from idea to production in days, not quarters — without breaking things., • Raise the AI-engineering bar as the team grows., • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics., • 6+ years of full-time production engineering experience shipping software to real users at real scale., • At least one prior senior, staff, or tech-lead role., • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software., • At least one shipped LLM-powered feature in production, with an eval story., • Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP)., • Excellent written English, • Legal authorization to work from India or Pakistan as a remote contractor with a US company. Nice to have • Master's or PhD from a tier-1 institution., • Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale., • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents., • Public GitHub or a personal AI project we can actually try., • A personal project you built because you wanted to.

The successful candidate will work as part of a team focused on site reliability, security, and scalability, as we manage our rapid growth.

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

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 .

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers’ financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. What we do at Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work. Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers’ financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time. Who We Need, and Why? We are looking for a highly experienced and product-minded Frontend Engineer with a deep specialisation in frontend systems. You will be a technical leader and a mentor, playing a pivotal role in shaping our product vision and technical direction while driving the delivery of high-quality, user-friendly applications. You will be the go-to frontend subject matter expert (SME), significantly contributing to our technology stack and best practices, and fostering a culture of technical excellence and continuous improvement. While your primary focus will be on the frontend, you'll also have a strong understanding of full-stack systems, from data flow to deployment, ensuring seamless integration and performance. The Role As a Staff/Senior Engineer you will be a hands-on leader, balancing frontend specialisation with an understanding of the full stack. Your experience will cover: Technical Leader & Mentor: You are passionate about mentoring and elevating the technical capabilities of the team. You will act as a technical mentor to other engineers, sharing your expertise and guiding them in best practices for frontend architecture, development, and support Strategic & Tactical: You can balance big-picture vision with hands-on execution. You're action-oriented and eager to take ownership of projects and initiatives Driving Technical Strategy: You will contribute significantly to team discussions, helping to solve complex technical challenges, and proactively identifying opportunities to improve our frontend technology stack and engineering practices. You will influence our technical roadmap and architectural decisions, bringing innovative solutions and staying at the forefront of modern technologies and frameworks Product Ownership: You will take a leading role in designing, developing, and supporting impactful projects, ensuring seamless user experiences with observability baked in. You will champion a strong product mindset with a keen eye for user experience and system design Obsessed with Quality: You are passionate about code quality, maintainability, observability, and best practices across the platform Proactive & Collaborative: You have a proactive approach to problem-solving and can effectively communicate technical concepts to both technical and non-technical team members Balancing Speed & Quality: You are comfortable working in a fast-paced, startup-like environment, balancing speed and quality while demonstrating a strong desire for ownership to deliver high-quality solutions efficiently Team Player: You foster effective collaboration between engineering teams and stakeholders, ensuring alignment and seamless handoffs Leveraging AI: You are enthusiastic about leveraging current and new AI solutions to streamline operations and maximize output, staying at the forefront of changes in AI tools to enhance your role and productivity What You’ll Bring to the Team Demonstrated experience in mentoring engineers of all levels and leading technical initiatives Extensive experience as a frontend subject matter expert, with deep proficiency in React and TypeScript. Experience with Svelte would be a plus A proven track record of building and optimising performant, accessible, and responsive web applications A strong understanding of how data flows through a full-stack system, from the API to the user interface Deep knowledge of UI/UX best practices and creating great user experiences Significant familiarity with site reliability engineering (SRE) principles as they apply to frontend applications, including a strong understanding of modern build tools, CI/CD pipelines, and cloud-based deployment processes Experience with containerization and orchestration technologies like Docker and Kubernetes (K8s) Extensive experience with testing frameworks for both frontend and backend (e.g., Jest/Vitest, React Testing Library, Cypress) Strong awareness of security best practices A degree in Computer Science or a similar field is preferred What level we are looking for: We are looking for either a senior or staff level engineer. On applying please select the appropriate level for what you think will best suit your skills. We are open to Hybrid or remote applications from within the UK.

As a Senior Data Engineer in our new Central Data Engineering team in the Platform Mission, you will be leading work that is mission-wide in terms of scope. Our new Central Data Engineering team will inform data quality standards, access standards, create templatised solutions, assist in managing mission-level datasets/dashboards, and prepare our mission’s data for the AI Future that expected to impact every squad and product area. As the Senior engineer on the team, you will deal with bringing structure to ambiguity and be the bridge between business goals and translating them to technical deliverables. • Build large-scale data pipelines using frameworks like Google Cloud Platform and Apache Beam., • Work on projects powering new generative AI experiences and helping to build models., • Learn and contribute to the team's best practices and techniques for building data pipelines for large-scale models, including cleaning, filtering, classifying, and labeling., • Collaborate with other engineers, researchers, product managers, and stakeholders, taking on learning and leadership opportunities that arise., • Deliver scalable, testable, maintainable, and high-quality code., • Share knowledge, promote standard methodologies, and improve the team through mentorship and constructive accountability., • You have Data Engineering experience and know how to work with high-volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS., • You have experience building clean, high-quality datasets for training large-scale models., • You have experience with one or more higher-level Python or Java-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, etc., • You have strong Python programming abilities. You might have worked with Docker as well as Luigi, Airflow, or similar tools., • You care about quality and know what it means to ship high-quality code., • You have experience managing data retention policies., • You care about agile software processes, data-driven development, reliability, and responsible experimentation., • You understand the value of collaboration and partnership within teams., • This role is based in London, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

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 remote opportunity and we are looking for candidates in the UK, Spain, Germany or Sweden. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it. In this role, you will be part of the team that designs, builds, and scales our Cloud Observability product suite, providing customers with the ability to collect, visualize, analyze, and understand metrics and logs data from hundreds of cloud provider services. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. We are looking for engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities. About Grafana Labs There are more than 950,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a SpaceX launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include two other open-source projects, Grafana Loki (for logs) and Grafana Tempo (for traces). At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Senior Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes. Key Responsibilities You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring and Cloud Provider observability solutions. • Design and implement high-quality, scalable integrations for various infrastructure components, databases, and applications, • Create middleware components, SDKs, and libraries that simplify development and maintenance of observability solutions, • When necessary, represent Grafana Labs in open source forums, working groups, and events, • Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs, • Support the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions, • Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must. Requirements Minimum Qualifications: • Strong 5+ years of experience with at least one programming language. We use Go, but do not require candidates with Go experience. Long term experience in any major language (Python, .NET, Java, Rust, etc) with a willingness to learn Go is acceptable., • In-depth knowledge of at least one major cloud provider, including core services, APIs, identity and access models, networking, and operational patterns, • Experience with cloud-based software development and production systems, • Experience writing clean, maintainable, robust, and performant software, • Familiarity with observability tooling (e.g. Grafana, Prometheus, Loki, OpenTelemetry), • Experience driving projects from ideation to production., • Experience with microservices architecture and distributed systems, • Excellent problem-solving and debugging skills, • Experience participating in an on-call rotation and incident management Preferred Qualifications • Experience designing and building observability backends for various systems and applications, • Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration, • Understanding of metrics collection, visualization, and alerting concepts What you’ll bring to the role At Grafana Labs, we define senior roles via the scope of their business impact more than via their expertise or their specific activities. So the most important thing we are looking for in an engineer is the ability to take ownership. You will need to drive technical implementations working with the upstream community and contribute to business conversations, helping shape the long-term strategy. • You have a passion for observability and like to share your knowledge by writing documentation and blog posts., • You love to engage with customers and help them out., • You have excellent communication skills., • You have relevant open source experience, ideally in the observability domain., • You are willing to become an active member of the OpenTelemetry and Prometheus communities., • You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work., • You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call., • You actively mentor other team members, identifying areas for focus and improvement. In the UK, the Base compensation range for this role is £91,755 - £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 _. #LI-Remote *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 .

Company Overview IMS is a leader in connected car and telematics services. We provide services and analytics to insurers, governments, and enterprises. We are proud to be the developer of the industry-acclaimed, cloud-based connected car platform. From insurers and governments to dealerships and everyday drivers, we’re proud to produce technology that makes driving - Safer. Smarter. Greener. Job Description The Senior Platform Engineer is a technical leader responsible for designing, operating, and continuously improving the AWS serverless data platform. This role sits at the intersection of infrastructure, software engineering, and developer experience — owning the reliability and scalability of the platform while actively enabling product and data engineering teams to build and ship confidently. Key Responsibilities Platform Tooling & Self Service • Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently., • Own and evolve internal developer platform (IDP) capabilities — including CI/CD pipeline templates, Infrastructure as Code (IaC) modules, and reusable Lambda/Step Functions patterns., • Reduce cognitive overhead for engineers by abstracting platform complexity behind well-documented, opinionated interfaces., • Partner with engineering teams to gather feedback and continuously improve the developer experience. Engineering Standards & Technical Documentation • Produce and maintain high-quality technical documentation, runbooks, and architectural decision records (ADRs) for the platform., • Define and evangelise engineering standards for serverless development, including naming conventions, logging patterns, error handling, and observability., • Lead or contribute to internal tech talks, workshops, and onboarding programmes to upskill engineers on platform capabilities. Collaboration & Stakeholder Engagement • Act as a trusted technical partner to product and data engineering squads, embedding platform expertise into delivery teams as needed., • Define clear SLAs and SLOs for platform services and communicate them to consuming teams., • Triage and resolve platform-related blockers rapidly, prioritising unblocking engineers over reactive maintenance work. Security & Compliance • Ensure platform infrastructure adheres to security best practices including least-privilege IAM, encryption at rest and in transit, and secrets management., • Collaborate with security and compliance stakeholders to maintain audit readiness and address vulnerabilities promptly., • Embed security considerations into platform tooling so that secure defaults are the path of least resistance for engineers. Infrastructure as Code & Delivery • Own and evolve IaC for all platform infrastructure using tools such as Terraform, AWS CDK, or CloudFormation., • Enforce GitOps and CI/CD best practices across platform delivery, ensuring changes are peer-reviewed, tested, and deployed safely., • Champion progressive delivery practices — including feature flags, canary deployments, and rollback mechanisms — across the platform. Continuous Improvement • Drive a culture of continuous improvement through regular platform reviews, blameless post-mortems, and iterative delivery., • Measure and report on engineering metrics to demonstrate and drive improvement., • Contribute to the broader engineering community through internal knowledge sharing, cross-team collaboration, and participation in guild or chapter activities. Key Requirements • WS Serverless & Cloud Architecture Deep, hands-on experience with the core serverless stack — Candidate should be able to design pipelines with cost, latency, and failure modes in mind, not just get things working. Knowledge of AWS IAM, VPC, and security patterns is equally important., • Python (Primary) & Java (Secondary) Strong Python skills are essential — not just scripting, but writing production-quality, testable, maintainable code. Candidate needs to be credible enough to review Python code written by the teams they support. Java familiarity matters for legacy pipeline work and cross-language debugging, but doesn't need to be at the same depth., • Infrastructure as Code Proficiency in Terraform is a must. Candidate should be building reusable, well-structured IaC modules — not one-off configurations — and comfortable working in a GitOps model with peer-reviewed, pipeline-deployed infrastructure., • CI/CD & Developer Platform Thinking Experience building and maintaining CI/CD pipelines The key mindset here is thinking about other engineers as your customers, and building tooling that reduces friction and cognitive load., • Observability & Operational Maturity Comfortable with CloudWatch, and ideally a third-party observability tool. They should understand SLOs and error budgets beyond the theory — and know how to design alerting that's actually actionable rather than noisy., • Communication & Developer Empathy Given the developer enablement focus, this is crucial. Candidate needs to write clear documentation, give useful feedback in code reviews, and explain complex infrastructure decisions to non-platform engineers. Strong written communication matters as much as verbal., • Security Mindset Practical knowledge of least-privilege IAM, secrets management and how to bake secure defaults into platform tooling so teams don't have to think about it. Why should you join us? • Flexible remote working options., • Flexible holiday scheme (unlimited vacation) to really make the most of your time and wellbeing., • 'Work From Anywhere' Policy - work almost anywhere in the world for 30 days per year!, • Employee Assistance Program and an enhanced maternity/paternity package, • We want to see you grow and do great things! We’re committed to your personal and professional development., • Funded training opportunities., • Auto-Enrolment Pension & Private Medical Insurance., • Cycle to Work and Car Maintenance Salary Sacrifice discounts!, • Kudos Hub - a peer-to-peer recognition system, where you can recognise others using points. These points can be collected and redeemed against a huge catalogue of rewards., • We’re an innovative technology leader with plans for growth in the global telematics industry. These are some exciting times! *Please note that while we accommodate a remote working environment, this hire will need to be based in the United Kingdom.

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 .

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. We are seeking highly skilled and experienced Platform Product Engineers to join our Security, Infrastructure and Performance team. This is a crucial, dual-faceted role that combines high-level engineering strategy with hands-on operational excellence. The successful candidates will be responsible for building, operating, and continuously enhancing the internal technology platform, fundamentally treating this platform as a product with all development teams as its primary customers. The Platform Product Engineer role is centered around embodying and executing DevOps principles, specifically focusing on: Automation: Systematically removing manual toil from the software development lifecycle (SDLC) through the creation of robust tooling, CI/CD pipelines, and infrastructure-as-code (IaC). Collaboration: Fostering a tight, cooperative partnership with product development teams, gathering requirements, and delivering solutions that accelerate their productivity and time-to-market. Continuous Improvement: Instilling a culture of iterative enhancement for the platform's reliability, cost-efficiency, and developer experience. This mandate is underpinned by a rigorous Site Reliability Engineering (SRE) mindset. The successful candidates will be instrumental in defining and upholding Service Level Objectives (SLOs) and Service Level Indicators (SLIs), implementing effective monitoring and alerting strategies, and leading operational incident response processes. The core responsibility is to implement, maintain, and continuously improve the foundational platform infrastructure that powers all engineering services. This necessitates a relentless focus on ensuring high reliability, exceptional scalability, and optimal performance across the entire stack. Platform Infrastructure: Build and maintain platform infrastructure using declarative IaC tools (e.g., Terraform, Pulumi), ensuring all environments are reproducible, version-controlled, and auditable. Proactively manage the capacity of the infrastructure to consistently meet or exceed Service Level Objectives for latency, error rates, and availability. Incident Response and Post-Mortems: Act as first-line responders for critical system incidents. Triage, diagnose, and resolve complex production issues rapidly. Drive a culture of blameless post-mortems, ensuring root causes are identified, and long-term preventative measures are implemented as code (e.g., via runbooks, automation, or system design changes). Tooling & Automation: Own the stack of supporting tools necessary for operational excellence and developer enablement, including: Continuous Integration and Continuous Delivery (CI/CD) Pipelines: Implement, maintain, and evolve the fully automated CI and CD pipelines. This includes establishing best practices for fast, reliable, and secure build, test, and deployment processes. Observability: Implement and manage robust systems for monitoring (metrics), logging (centralised log aggregation), and distributed tracing to provide deep insights into application and infrastructure health. Applied DevOps and SRE Principles: Must have : Demonstrable, hands-on experience applying core DevOps and Site Reliability Engineering (SRE) principles to manage, monitor, and scale production systems. Must have: A deep understanding of the SRE mindset, including SLO/SLA creation and monitoring, error budget management, toil reduction, and post-incident review (blameless postmortems). Desirable: Proven ability to drive cultural and process change that fosters a collaborative approach between development and operations teams. Cloud Infrastructure and Containerisation Expertise: Must have: Expertise in one or more major public cloud providers (AWS, GCP, or Azure), encompassing network configuration, security best practices (IAM, security groups, etc.), compute services (EC2, GKE, ECS, etc.), and managed services (databases, queues, serverless functions). Must have: In-depth knowledge of container technologies, specifically Docker, and extensive experience orchestrating them at scale using Kubernetes (K8s). This includes designing, deploying, and managing Kubernetes clusters, understanding networking (CNI), storage (CSI), and security configurations within the Kubernetes ecosystem. Automation and Programming Skills: Must have: Proficiency in one or more modern software languages (e.g., Typescript, Go, Python, Rust) and associated frameworks used for building high-performance, resilient production systems. Must have: Proven experience developing robust, maintainable, and well-tested automation scripts, services and pipelines to manage infrastructure, deployments, and operational tasks. Operational Tooling and Observability Management: Must have: Experience owning, managing, and maintaining mission-critical operational tooling. Desirable: Proven background in implementing and managing centralised logging solutions or similar platforms (e.g., Splunk, DataDog). Desirable: Familiarity with distributed tracing tools (e.g., Jaeger, Zipkin) and Application Performance Monitoring (APM) solutions. Competitive salary of £95,000 to £125,000 Equity in an early-stage tech company on an incredible trajectory 25 days holiday plus local public holidays Apple hardware Private medical insurance through AXA Pension contribution through Hargreaves Lansdown Enhanced family leave Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

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.

Our Ways of Working Principles: We believe that most of us do our best work when we work together, but we know that everyone works in different ways, and quite frankly, has other commitments and responsibilities outside of work.As we further adjust to hybrid working, we want to take what we've learnt from working remotely and keep the flexibility that's enabled us to thrive and keep driving our business forward. We have some core principles which support us in this:Do what’s rightTrust & give permissionDelivery matters We understand ways of working can look different based on your role, team and you as an individual so we are here to support and discuss this with you during the interview process. Work with us At Moonpig Group our mission is to help people connect and create moments that matter. We’re an international group made up of three brilliant brands – Moonpig in the UK, Ireland, US and Australia, and Greetz in the Netherlands – with our newest addition Buyagift joining us in 2022. We were founded with a goal to disrupt the traditional greetings industry. Two decades on, we’re an established leader within the online gifting market, offering a wide range of products to customers across the world. Moonpig is an iconic brand and innovator, with clear values (read more about our values _). These values set our teams and our business up for success in an environment that’s fun, supportive and challenging. They’re the glue that binds us together and we think of them as a platform to help us deliver our best work. You have every chance to drive impact here at Moonpig, and most importantly, we genuinely want you! Our architecture is built for scale and flexibility which will allow us to quickly innovate and launch new propositions - coupling that with the wealth of data we have on our customers, the sky's the limit in the world of experimenting with cutting edge ideas. About the role We're currently looking for a mid level Software Engineer to join our Platform Enablement Team. This role will be focussed primarily on the core web platform. Leveraging your experience of building a Serverless deployed multi-app React and Next.JS platform, streamline build workflows using Turborepo, and implement robust frontend testing practices. Additionally, you’ll maintain the GraphQL gateway and support our experimentation platform, Eppo. Please note this team works primarily remotely, so we are open to candidates across the UK or the Netherlands that are able to come to one of our head office locations in London, Manchester or Almere from time to time, when required to do so by the business. • Develop and enhance the web platform and related supporting services (e.g., WAF, CDN via CloudFront and GraphQL API Gateway)., • Actively maintain, troubleshoot, and optimize platform reliability and performance, • Providing advice and consultation to engineering., • Contribute proactively to defining platform and technology standards, continuously evolving what “good” looks like and suggesting what's next., • Drive Meaningful Developer Impact: Our goal is to enhance the developer experience by prioritising high-value initiatives that remove friction, improve efficiency, and empower teams. We focus on clear planning while remaining adaptable to evolving engineering needs., • High Quality: Collaborate with stakeholders to deliver secure, scalable, maintainable, and high-performance solutions, all while maintaining a fast delivery pace., • Community Mindset: Engage with the engineering community within Moonpig, sharing knowledge and contributing to the continuous improvement of our practices., • Open-Mindedness: Strive for improvement by being open to feedback, giving constructive feedback to others, and being willing to try new ideas. This openness is key to our ongoing success., • Growth: Be actively engaged in your own growth, embracing challenges while feeling supported in your role., • Experience with TypeScript, React, NextJS, modern CSS frameworks and Apollo GraphQL., • You are comfortable collaborating with cross team Engineers and with Agile methodologies., • Have an interest in the platform and infrastructure part of the frontend stack., • You have experience writing documentation, whilst understanding the audience to deliver key points and provide clarity on technical topics., • Ability to coordinate, communicate and present project requirements and outcomes to the wider engineering teams, • Understanding event based architecture is a plus., • Programming Languages: TypeScript, • Frameworks/Libraries: React, Next.js, Apollo GraphQL, Modern CSS frameworks, • Cloud & Infrastructure: AWS (Lambda, API Gateway, CloudFront, WAF, Route53), Terraform/OpenTofu, • Practices: Experimentation (A/B/n Testing), • Other: CICD Tool (e.g. Github Actions) We don’t expect you to have experience with all of the technologies above. As long as you have experience with most of the above and cloud/serverless technologies, please apply! • Kanban, • Jira / Confluence, • Grafana and AWS Cloudwatch, • Google Analytics, • Clean Architecture, • TDD, • Pair Programming, • Focus on experimentation to validate our hypothesisWant to hear more? Find out more about Moonpig Group and what it has to offer _! Moonpig’s Commitment to Equality, Diversity and Inclusivity At Moonpig Group, we’re committed to creating an inclusive and caring culture with brilliant people who feel a real sense of belonging. We welcome and celebrate all diverse backgrounds to Moonpig Group, from working parents who need flexibility with their hours to individuals who are neurodiverse and prefer to work a certain way.We’re proud to have several employee-led committees within our organisation, including the LGBTQ+, Gender Balance, Neurodiversity and our EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) Committees.We’ll continue to push for diversity and that sense of belonging so that all Moonpig Group employees feel safe and comfortable to be their true authentic self at work.

Backed by a16z and Salesforce Ventures, Sequence is reinventing the accounts receivable category, building a flexible toolkit to help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating at a lightning fast pace. This is a fantastic opportunity to be a part of the next wave of innovation for the CFO office, doing your best work with talented, ambitious and creative teammates. Sequence is the ultimate billing and revenue stack for B2B companies. We help our customers design and iterate on their pricing and revenue flows, so they can stay completely focused on their mission without worrying about billing. At the end of your career, we want you to look back at your time with Sequence and say it was the best job you ever had. We're looking for software engineers with strong backend and cloud infrastructure experience to build the systems that power billing for modern B2B companies. You'll own revenue-critical infrastructure - the kind where correctness isn't negotiable and downtime isn't an option. Our usage events platform processes every merchant action that determines how their customers get billed, making it one of the most critical systems we run. You'll work on the evolution of this platform to handle exponential growth while maintaining perfect accuracy. This is a rare opportunity: you're joining early enough to make fundamental architectural decisions, but late enough that real customers depend on what you build. You'll design systems that process high-velocity event streams, make technical decisions that balance cost and performance at scale, and build infrastructure that never compromises on reliability. Own revenue-critical event infrastructure. You'll work on systems that process customer usage data on which billing and invoicing depend. Design event streaming pipelines that handle high throughput with low latency. Build robust systems where data accuracy is non-negotiable and uptime is measured in nines. Design scalable data systems. You'll work with event streaming architectures, building sophisticated ingestion pipelines and query optimization strategies. Our event volumes grow with every new customer, so you'll architect systems that scale efficiently while keeping costs reasonable. Shape our backend architecture. You'll tackle our most complex technical challenges and set the standards for how we solve them. Our services run on Kotlin with Spring Boot, and you'll have significant influence over architectural patterns and how we approach infrastructure problems. Build for the next phase of growth. You'll design systems that work beautifully today and scale to 10x the load tomorrow. This means thinking about data storage strategies, horizontal scalability, and how your architectural decisions affect performance as volume increases. Drive impact on a small team. We've built an engineering culture around collaboration, learning, and shipping. You'll have significant influence on what we build, how we build it, and how we work together. ✅ Love building systems that scale. You've worked on backends that handle significant load and understand the tradeoffs in designing for throughput, latency, and cost. You know when to optimize and when good enough is actually good enough. ✅ Have strong experience in event-driven architectures. You've built pub/sub systems, worked with event streaming platforms, and understand the nuances of event delivery semantics, backpressure, and ordering guarantees. ✅ Think deeply about data systems. You've worked with analytical databases or OLAP systems. You can reason about columnar storage, indexing strategies, and query optimization without needing a whiteboard. ✅ Own your infrastructure. You've provisioned cloud resources, written infrastructure-as-code, and made architectural decisions that balance competing constraints. You understand how to model and optimize costs as systems scale. ✅ Write backend code in strongly-typed languages. Our services run on Kotlin, though you don't need prior experience - many of our engineers learned it here and loved the challenge. What matters is that you're comfortable with type systems and backend development. ✅ Want to work on something new. The biggest technical decisions still lie ahead. You'll help define our infrastructure strategy, not just implement someone else's vision. ✅ Thrive in uncertainty. We're an early-stage company. Priorities shift as we learn from customers. Requirements evolve as we understand the problem space. You find this energizing, not frustrating. ✅ Care about customers and their problems. You'll work directly with customer data and build systems that power their revenue. You'll need to understand not just how to build things, but why they matter. 👎 Prefer staying in your lane. We're small and fast-moving. Engineers here work across different parts of the system and adapt as needs change. 👎 Want a predictable roadmap. We don't have a year-long backlog of perfectly scoped tickets. We figure out what to build based on customer needs and technical priorities. 👎 Prefer a slower pace. We're solving real problems for customers today, which means we need to move quickly and make pragmatic tradeoffs. 👎 Want startup perks with big company stability. We're early stage - that comes with excitement and opportunity, but not the benefits package of an established tech company. The salary range for this role is £90,000 - £110,000 + share options Early ownership of critical infrastructure at a fast-growing company Real architectural influence - your decisions will shape how we build for years A collaborative team that values deep technical work and continuous learning We support remote work within +/- 3 hours of GMT and EST, or you can work from our offices in central London or New York - whatever you prefer. The hiring process follows the same general outline for all engineering roles. 1️⃣ First interview (15 mins): A 15 minute interview with an engineer to learn more about you and your experience. 2️⃣ Technical Interview (60 mins): A live pair-programming exercise with one or two of our engineers. We'll ask you to start a new project in a language of your choice, and you'll work with the engineers to solve some requirements and write a test suite. 3️⃣ System Design Interview (60 mins): Focused on how you approach system design problems, own the solutions, and apply a product mindset. 4️⃣ Final interview (30 mins): A final interview with our CEO, Riya.

Junior Technical Sales – CNC • Location: Scotland, • Glasgow, Edinburgh, Aberdeen, Dundee and surrounding areas, • Basic Salary: £40,000 - £50,000, • OTE: £65,000, • Company Car | Structured Training | Home Based This role is designed for someone who understands machining from the shop floor and wants more. If you are currently a CNC Programmer, Setter, Manufacturing Engineer, or Workshop Manager and enjoy the technical side of tooling, but want greater earning potential, autonomy, and career progression, this is your opportunity to step into technical sales properly. You will not be thrown in unprepared. You will be trained. Why This Role Is Attractive You will: • Move from the workshop into a commercial, field based role, • Represent premium, high precision tooling solutions used in serious machining environments, • Receive structured product training and hands on technical development, • Shadow experienced senior sales professionals, • Spend time at the company’s German headquarters for further development, • Take ownership of a new Scottish territory with major growth potential, • Build something almost from scratch in a high opportunity market Scotland is largely untapped for this business. The surface has only just been scratched. The growth potential is significant. This is not territory maintenance. This is territory development. The Business Our client is a European market leader in high precision tool holding and a global specialist in shrinking, balancing, and presetting technology for the metal cutting industry. Their products are used by high end manufacturers where machining accuracy, balance, and reliability are critical. The UK is a strategic expansion market, and Scotland represents one of the strongest growth opportunities. What You Will Be Doing • Developing a new Scottish territory from a home office base, • Visiting machining and manufacturing customers across Scotland, • Advising on tooling performance, optimisation, and application, • Supporting installations and delivering product training, • Working closely with senior sales colleagues during your development period, • Representing the business at exhibitions and industry events Over time, you will transition into full ownership of your region. What You Bring • A hands on machining background such as CNC Programming, Setting, Manufacturing Engineering, or Workshop Management, • Strong understanding of tool clamping, milling, or metal cutting technology, • Confidence speaking with engineers and production managers, • A desire to move into a commercial role, • Drive, curiosity, and willingness to learn Previous sales experience is not essential. Technical credibility is. The Opportunity This is a structured entry into technical sales within a premium engineering brand. You will receive genuine development, exposure to international training, and the chance to build a territory with real long term earning potential. If you understand machining and want to step beyond the workshop into a commercially focused role with progression, this is worth a conversation.

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 .

Site Reliability Engineering (SRE), DevOps, or System Engineering. Site Reliability Engineer (SRE). 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.

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. Engineering Manager - Platform - Usage This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for a proven leader who enjoys guiding teams in solving complex workflow and systems problems, driving improvements in reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineering Managers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: • Manage and grow a distributed team of engineers, conducting regular 1:1s, providing consistent feedback, and supporting individual performance and career development., • Partner with product management and engineering leadership to shape the Usage squad's roadmap, strategy, and OKRs, ensuring alignment with overall company mission and customer impact., • Guide the team through the full project lifecycle, from early technical design and scoping to delivery and post-launch iteration, ensuring high-quality and timely outcomes within the Usage domain (e.g., billing engine, cost management and billing app, reconciliation systems)., • Act as a project manager, facilitating collaboration with Product, DealOps, GTM, Pricing and Monetization, Support, and adjacent AppCore squads to remove blockers and ensure coordinated delivery across service boundaries., • Foster a high-trust, security-first team culture that embraces thoughtful AI-assisted development practices to enhance engineering workflows and eliminate toil., • Contribute to hiring and talent acquisition efforts, partnering with People Ops to attract and retain a diverse group of engineers. What Makes You a Great Fit: • Experienced in people management, including conducting regular 1:1s, delivering candid feedback, and supporting career growth and performance conversations., • You are a leader who empowers engineers, focusing on setting clear direction, aligning on outcomes, and identifying risks early rather than providing task-level oversight., • Transparent and direct by default; you advocate clearly for your reports and proactively resolve ambiguity or conflicts, especially when priorities collide., • A strong communicator who thrives in a fully remote and globally distributed environment, comfortable collaborating asynchronously across time zones and cultures., • You take initiative and can move work forward in complex, systems-focused problem spaces, such as stateful systems, eventual consistency, and reconciliation loops. Requirements: • Minimum 2 years of experience managing software engineering teams., • Prior experience as an Individual Contributor (IC) in a related engineering role for at least 3 years., • A strong software engineering background, ideally including experience in backend systems (like Go), sufficient to credibly engage in technical design discussions and challenge the team toward strong decisions., • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability., • Demonstrated ability to manage delivery across multiple concurrent projects, align stakeholders with competing priorities, and clearly communicate risks and timelines., • Comfortable working with engineering teams who have a strong sense of autonomy in their decision-making., • Deeply customer-focused, consistently grounding technical decisions in real-world user and business impact., • Comfort with AI-assisted tooling and an expectation that you are curious and comfortable integrating AI-powered tools into a team's workflow. Bonus Points For: • Experience with high-volume billing systems, usage metering, and customer-facing cost management applications (like CMAB)., • Practical experience implementing and automating complex pricing logic, promotions, discounts, rebilling, and usage forgiveness, while ensuring strong auditability., • Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and compliance or system refactoring related to IT General Controls or Role-Based Access Control (RBAC)., • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems., • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)., • Experience contributing to or maintaining open source projects. Compensation & Rewards: In the UK, the Base compensation range for this role is GBP 103,000 - GBP 129,000. 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: 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 .

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Job Title: Senior Cloud Engineer Location: Remote, UK Reports to: Head of Cloud & DevOps Work schedule: Mon-Fri, 37.5 hours per week Who are VitalHub? VitalHub aspire to accelerate the delivery of digital transformation at scale, supporting healthcare organisations internationally to improve how they capture and analyse data. This helps enhance patient flow and enables better coordination of care across planned and unplanned services, mental health, workforce, and compliance. From patient-facing apps and in-hospital flow management to national system control centres supporting the provision of healthcare services across US, UK, Canada, Middle East & Australia, our solutions exist to deliver an eco-system of joined-up technical infrastructure and centralised data integration. The Opportunity: The Senior Cloud Engineer will work in the Cloud department that is responsible for for the design, evolution, and operation of VitalHub’s UK cloud platforms and DevOps capabilities. The role will work on infrastructure, deployment pipelines, and operational tooling including designing, implementing, and improving them over time. The role will help ensuring systems are stable, secure, recoverable, and cost-effective across the full product lifecycle. The Cloud department works across all VitalHub’s UK products including working with colleagues around the world. Operating as a Cloud Centre of Excellence to ensure we achieve reliability, scalability, operability and affordability in hosting our products. As a senior the role will also involve mentoring and coaching to impart skills and best practices. Your Responsibilities: • Contribute to the design, evolution, and operation of cloud platforms and DevOps capabilities across the UK product portfolio, covering infrastructure, deployment pipelines, and operational tooling, • Contribute to the technical direction for cloud architecture, including environment structure, network topology, identity and access models, and shared platform services, in alignment with global cloud teams., • Support the development and promotion of standards and reference approaches for infrastructure as code, configuration management, and environment provisioning, ensuring repeatability and auditability., • Design, implement, and improve DevOps practices, including CI/CD pipelines, release and deployment strategies, environment promotion, and change management., • Ensure cloud platforms and CI/CD pipelines are secure and resilient, working with DevSecOps and InfoSec on access controls, secrets management, network security, and pipeline hardening., • Maintain robust foundations for stability and recovery, including disaster recovery strategy, RTO/RPO definitions, runbooks, and regular recovery testing., • Manage cloud cost through informed architectural decisions, capacity planning, scaling strategies, and service selection, using cost data to guide trade-offs rather than enforcing blanket controls. Promote transparency and visibility of cloud costs back into teams working on the products., • Mentor and coach other members of the team to improve their skills and promote best practices., • Work closely with engineering teams to ensure deployment, monitoring, and operational approaches align with application architecture and how systems are built and maintained., • Work collaboratively, explaining technical decisions clearly and bringing teams along through support, guidance, and shared ownership rather than enforcement. Essential Experience: • Experience with developing and maintaining Infrastructure-as-Code (terraform etc.) to a high standard, • Experience with deploying and maintaining workloads in cloud platforms (AWS, Azure), • Comfortable working directly with engineering teams in a collaborative approach, • Experience with DevOps tooling and processes (ci/cd pipelines, observability and reliability), • Networking knowledge Nice to Haves: • Comfortable in working in an environment with variety and sometimes being air dropped into new areas to help with projects/issues, • Experience with containerisation, • Experience with working in the hosting of SaaS applications, • Experience with running cloud at scale, • Able to coach and mentor others to impart skills and best practices, • Working on previous transformation projects (cloud migrations, workload modernisations, DevOps transformations) Our Interview Process: • Initial screening call with the Talent Team, • Virtual interview with the Line Manager – technical and verbal assessment, • Virtual interview with the VP of Engineering & Head of HR What do we offer? • Remote & flexible working, • 25 days holiday plus Bank Holidays, • Support to grow through professional learning & development courses!, • Employee Assistance Programme, • Inclusive approach to Diversity, Equity & Inclusion, • Events – networking and social, • PDP – progression & internal career opportunities, • Death in Service, • Regular training workshops As an equal opportunities’ employer, VitalHub is committed to the equal treatment of all current and prospective employees and does not condone discrimination based on age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join VitalHub. If you require any reasonable adjustments during the recruitment process, please let the Talent Team know.

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

QA Engineer/Analyst (Platform Engineering) SC CLEARED.Location: Remote working with occasional travel.Job Type: Contract - 12 months.Rate: £550 - £650 per day (Inside IR35).As a QA Engineer/Analyst within our clients Platform team, you will play a pivotal role in ensuring the quality, reliability,

We are a remote first team, with a head office based in Cheltenham. As a DevOps Engineer at Ripjar you will be responsible for ensuring the reliability and security of the infrastructure that underpins our development and operational services.

YourParkingSpace is seeking a highly skilled and technical Senior Backend Engineer to join our innovative and forward thinking team. We are the UK’s fastest-growing parking technology provider, dedicated to making parking effortless for drivers and maximising revenue for space owners. Our on-demand marketplace connects drivers to thousands of spaces, while our comprehensive suite of B2B solutions transforms parking assets into connected mobility hubs. We are part of a global transport solutions group leading the way in making our cities more livable. Overview of role We are seeking an experienced Senior Backend Engineer with expertise in PHP and Laravel to join our team and play a critical role in the development and maintenance of our microservice based architecture. As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining microservices using PHP (8.4), and other technologies such as MongoDB, GoLang, AWS, Docker, and CI/CD. Location: Remote based in the UK. You will be required to: • Collaborate with cross-functional teams, including software engineers, product managers, and quality assurance, to gather requirements and design, develop, and implement microservices using PHP (Laravel)., • Write unit and integration tests using TDD best practices to ensure the reliability and stability of the code., • Optimise and maintain MongoDB databases for efficient performance, including maintaining Atlas search indexing and utilising aggregation pipelines., • Work with Docker to deploy and manage microservices in a scalable and containerised environment., • Utilise AWS services for building and deploying microservices in a cloud-based environment., • Participate in CI/CD processes, including automated build, test, and deployment pipelines, to ensure smooth and efficient software delivery., • Use Git for version control and collaborate with other team members to ensure effective code management., • Collaborate with other backend engineers to identify, manage and prioritise tech-debt., • Stay updated with the latest industry trends and technologies, and proactively suggest improvements to our technology stack. We require: • Strong experience in PHP (8.4) and Laravel (12) development, with a deep understanding of respective concepts and best practices., • Familiarity with microservices architecture and event driven design., • Proficiency in designing and maintaining MongoDB databases., • Experience with Docker for containerization and deployment of microservices., • Knowledge and experience with the core AWS services (ECS, EC2, S3, SQS)., • Proficient in using Git for version control., • Detail-oriented with strong analytical thinking and problem-solving abilities, with the capability to work in an agile-based environment, • Passionate about staying updated with the latest technologies and continuously improving the technology stack., • Strong interpersonal, communication, and conflict resolution skills with a positive, can-do attitude., • Resilient, adaptable, and self-motivated; effective both independently and in team environments. Ideally you will have: • Experience developing services and/or AWS lambdas using GoLang, • Knowledge of configuring infrastructure using Terraform, • Knowledge and experience with CI/CD pipelines. We offer you: ✨ Collaborative & innovative work environment 🌱 Professional growth & development opportunities 💰 Competitive salary 🏖️ 24 days annual leave (increasing with service to 27) plus your birthday 🎁 Comprehensive benefits (EAP, health cash plan, tech/cycle schemes, gym membership, retail discounts) Join our team and be a part of the future of the parking industry! If you have a passion for fostering long-term commercial success and are excited about joining a market leading, growing company, apply now.

QA Engineer/Analyst (Platform Engineering) SC CLEARED. As a QA Engineer/Analyst within our clients Platform team, you will play a pivotal role in ensuring the quality, reliability, and security of critical systems and platforms that support national defence operations.

itD is seeking a Sr. Software Engineer/SRE (Site Reliability Engineer). We are looking for a highly motivated Lead Site Reliability Engineer on the Observability team. You will lead the design, development and operation of large-scale, secure observability systems that make sure our services stay online and performant. We're a team of passionate software engineers that value quality and customer experience. Our team is based in the US and EMEA, and we embrace hybrid and remote work. The opportunity is remote in the UK. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Job Title: Senior Site Reliability Engineering for Observability Work Location: UK (Remote) Duration: 12 months Working hours: 11am to 7pm (mostly) Interviews: 2 Webex Video Rounds The Meraki cloud supports millions of customer devices from 8 data centers around the world. Meraki’s customer base has grown by a factor of 2-3 every year, serving billions of HTTP requests per day globally. Our customers depend on our products to run their critical infrastructure of network switches, security appliances, wireless APs and security cameras. As SREs at Meraki, we are responsible for building and growing the cloud that supports these customers and their networks. As a Lead Site Reliability Engineer on the Observability team you will lead the design, development and operation of large-scale, secure observability systems that make sure our services stay online and performant. We're a team of passionate software engineers that value quality and customer experience. Our team is based in the US and EMEA, and we embrace hybrid and remote work. Examples of projects our team works on: ● Design, deploy and scale our Prometheus architecture to handle 100+ million active series and beyond. ● Deploy and operate large, high-performance ElasticSearch clusters holding 2000+TB of data. ● Deploy and grow high-throughput data pipelines built on Kafka, handling hundreds of thousands of events per second. ● Design and build an alerting system that allows engineering teams to construct alerts from multiple data sources and alerting workflows. ● Write libraries and APIs that give engineers self-service access to our monitoring, logging, and other observability systems. ● Use Terraform to deploy public and private cloud infrastructure. You are an ideal candidate if you: ● Have 5+ years experience designing, deploying and operating mid to large size distributed systems on VMs or bare metal machines running Linux (we run Debian and Ubuntu). ● Have 2+ years experience developing with languages like Ruby, Python, Go, Scala, or Bash. ● Are excited by the challenge of solving difficult problems in large distributed systems that deal with huge amounts of data. ● Want to work on a highly autonomous team that cares deeply about quality and customer experience. ● Are curious, learn fast and feel comfortable diving into unfamiliar code and systems to solve problems. ● Understand the value of observability and can work with other teams to help them better monitor their services. ● Are willing to be part of a production on-call rotation. ● Have direct experience with the following technologies (or similar): Elasticsearch Logstash Kibana (ELK) stack, Kafka, Prometheus/Thanos/Cortex, Graphite, Ansible, Terraform, Consul. ● Have strong experience in building out solitons based on Software engineering best practices. Preferred Skills: Enterprise and Tech Industry experience: Cisco, Meraki, Google, ServiceNow, Meta, etc. Education: Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a closely related field. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information. Additional Info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!

Location: Cheltenham, UK (Remote) Team: Product & Engineering Employment Type: Full-Time VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats. We’re looking for a Senior Software Engineer to design, build, and scale the core systems that power VulnCheck’s vulnerability intelligence platform. This is a high-impact, hands-on role where you’ll own critical services and data pipelines end-to-end—from design through production. You’ll play a key role in shaping architecture, improving system performance and reliability, and delivering features that directly impact customers. While you’ll help resolve production issues, your focus will be on building durable, scalable solutions that prevent them. This is a 100% remote role but we're primarily looking for candidates based in Cheltenham, United Kingdom. What You’ll Do • Design and build scalable backend systems, APIs, and data pipelines, • Own services end-to-end, including architecture, development, deployment, and operation, • Lead technical design discussions and contribute to system architecture decisions, • Write high-quality, maintainable code and drive engineering best practices, • Debug complex production issues and implement long-term, scalable solutions, • Improve system performance, reliability, and observability across the platform, • Partner closely with Product, Data, and other Engineering teams to deliver impactful features, • Mentor junior engineers and contribute to a strong engineering culture, • Participate in incident response and on-call rotations What You’ll Bring • 5+ years of experience building and scaling backend systems as a software engineer, • Strong programming skills in one or more languages (Python, Go, Java, etc.), • Experience designing distributed systems and working with microservices architectures, • Deep understanding of APIs, system design, and cloud infrastructure (AWS preferred), • Experience working with data pipelines, ETL systems, or high-volume data processing, • Proven ability to debug and optimize production systems, • Strong ownership mindset with the ability to lead projects independently, • Excellent communication skills and ability to collaborate cross-functionally Preferred Qualifications • Experience in cybersecurity, vulnerability management, or threat intelligence, • Familiarity with CVE, NVD, KEV, or exploit intelligence datasets, • Experience with streaming systems or real-time data processing, • Background in high-growth or startup environments We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles: • Unlimited PTO, • 401k plan with 100% match on first 3%, then 50% of the next 3-5% of compensation, • Comprehensive healthcare coverage, • Generous paid parental leave, • Remote friendly environment with flexibility, • Expense reimbursement for Cell Phone & Internet, • Ongoing professional development, coaching, and learning resources, • Opportunities for career advancement within a fast-growing team Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations. VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts. VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive. VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

StackOne is the universal integration layer for modern SaaS products. We’ve raised $24m in 2 years, and we’re backed by top tier investors like Google Ventures and Workday Ventures. Our unified API platform lets vendors ship hundreds of native, white label integrations in days, not months, by abstracting away dozens of disparate third party APIs into a single, normalized interface. On top of those APIs, we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs. StackOne sits behind the scenes as an embedded iPaaS: SOC 2 compliant, multi-tenant, and invisible to end users powering integrations for future-of-work SaaS categories such as HR, Compliance, and AI Agents. Our customers are established B2B SaaS companies that: Sell to mid market and enterprise buyers Are building AI Agents in the near future Need deep, native integrations to win competitive deals and power their product Value time to integration over building connectors in house We typically close OEM and embedded licensing deals, multi-year (1 to 3 year) contracts, five to seven figure TCV, with a strong land and expand model. Key buyer personas are the CPO and CTO. We are seeking a Solutions engineer to join our team and help create a world-class unified API experience for our customers. The ideal candidate will have had experience in a customer facing role & in developing integrations with various tools via APIs and a keen interest in exploring new technologies and platforms. As an Solutions Engineer at StackOne, you will play a crucial role in driving the expansion of our platform's capabilities. You will work to understand our customer’s unique needs and collaborate with the rest of the engineering team to add support for new integrations within the StackOne unified API. This is an opportunity to be at the forefront of innovation, enabling seamless connections between the diverse range of tools and services that power today's SaaS ecosystem. Help scope & gather requirements to understand customers’ integration needs Collaborate with the engineering team to design and develop new integrations and capabilities for the StackOne unified API Research and explore various tools and platforms to identify opportunities for expanding StackOne's integration capabilities Continuously improve the performance, reliability, and scalability of existing integrations Provide technical support and guidance to customers during the on-boarding process and beyond, ensuring a smooth and positive experience Contribute to the development of integration-related documentation, guidelines, and best practices Stay up-to-date with industry trends and emerging technologies in the API and integration space 2+ years of experience using Javascript or Typescript 2+ years experience in a solutions engineer, technical account manager or similar client-facing technical role Experience interacting with APIs Solid communication and collaboration skills Strong problem-solving and analytical skills As one of the key hire in the company, you will have a lot of freedom and agency to choose and work with the technology you love. Our current tech stack includes: Infra & monitoring: AWS (ECS, Postgres), Datadog, Sentry… Programming Languages & Frameworks: Typescript (Node.js) Other day-to-day Tools: Postman, Notion, Slack, Jira, GitHub, Readme, Intercom and more Our integration platform is unique for SaaS because: It’s the easiest and fastest. To add dozens of integrations, you only need to integrate once with our unified API and we take care of the rest. This is way faster, cheaper, and more reliable than building every integration to each tool one at a time (it can take weeks/months per integration). We enrich and standardize APIs: Don’t worry about the headache of figuring out how every tool’s API works. We add features that don’t exist out of the box (like using filters in your query or triggering a webhook when data changes) and make all APIs behave in the same consistent way. It’s easier and better to go through StackOne than to connect to the tools directly. It's the only one that never stores personal data: We are SOC2 certified, have data residency options for GDPR compliance, and more features to protect your customers’ data, plus we never store any of our customer’s data. Join one of Europe’s fastest-growing startups Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan and more Participation in the company’s employee share options plan 25 days holiday + 1 additional day holiday per year of tenure Flexible work setup - we're hybrid-friendly £1,000 for your home office set up + £500/year top-up Cycle2Work and Electric Cars scheme Private health insurance (including dental & optical) Health, fitness and gift card discounts Annual team offsite to sunny spots (last ones were in Spain and Portugal ☀️) Ready to help us change the game for SaaS integrations? Get in touch and let's chat! We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

We are seeking a Machine Learning Engineer to join the User Fraud R&D Studio at Spotify. Our mission is to protect Spotify from fake accounts and artificial streaming. You’ll work in a fast-moving team that experiments, iterates, and deploys innovative fraud prevention solutions. This includes analysing diverse user behaviours, uncovering patterns of abuse, and developing robust, scalable ML models that power real-time and batch decisions. If you're excited by adversarial modelling, anomaly detection, and building systems that defend one of the world's leading streaming platforms, we'd love to hear from you. • Contribute to designing, building, evaluating, shipping, and refining Spotify’s anti-fraud product by hands-on ML development, • Collaborate with a multi-functional team spanning data science, product management, and engineering to combat fraud, • Prototype new approaches and productionise solutions, • Help drive optimisation, testing, and tooling to improve quality, • Be part of an active group of machine learning practitioners in your mission and across Spotify, • Conduct analyses to gain insights on fraudulent behaviours and trends, • Be responsible for monitoring the quality and performance of the squad's ML models, • You have a strong background in machine learning, theory, and practice, • You are comfortable explaining the intuition and assumptions behind ML concepts, • You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch, • You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms like GCP or AWS, • You care about agile software processes, data development, reliability, and focused experimentation, • You focus on delivering the simplest solution that drives business impact, • This role is based in Stockholm, Sweden or London, United Kingdom, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

At RemoteStar, we're currently hiring for one of our clients based in Houston, TX. Years of experience: 3 to 5 years Location: USA About Client: A fast-growing US-based SaaS company is transforming how energy firms manage operations. Their end-to-end ERP platform streamlines field data, production, finance, land, and compliance, delivering real-time insights and operational efficiency. With a strong client base and innovative tech, they’re redefining digital transformation in the energy and utilities sector. You’ll design and implement AI-driven functionality that improves automation and user experience. This includes leveraging LLMs, machine learning models, and modern AI tooling within a production SaaS environment. This is a hands-on role for someone who can move quickly, make pragmatic decisions, and bring AI concepts into real, scalable product features. Responsibilities • Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) • Integrate LLMs and/or ML models into existing services and workflows, • Evaluate, select, and optimize AI tools, APIs, and frameworks for production use, • Collaborate with Product to translate business problems into AI-driven solutions, • Build and maintain scalable backend services to support AI functionality, • Profile, test, and optimize performance of AI-integrated systems, • Ensure reliability, security, and cost-efficiency of AI components in production, • Contribute to architecture decisions around AI integration and system design, • Partner with engineering teams to embed AI into existing applications without degrading stability Requirements • 3+ years of experience as a software engineer in a SaaS or cloud-based environment, • Strong backend engineering experience (RoR and/or Golang preferred), • Experience integrating APIs and working within distributed systems, • Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar), • Experience building or integrating AI-powered features into applications (not just experimentation) • Strong understanding of data flow, system design, and performance optimization, • Experience with relational databases (SQL Server or similar), • Familiarity with microservices architecture, Kubernetes, and CI/CD pipelines, • Experience deploying applications in Azure or similar cloud environments, • Strong problem-solving skills with ability to work in ambiguous, fast-moving environments, • Builder mindset—someone who can take an idea and turn it into a working feature quickly, • Pragmatic approach to AI (focus on value, not hype), • Ability to work independently in a contract environment while collaborating closely with internal teams • Strong communication skills and ability to explain AI concepts to non-technical stakeholders Preferred • Experience with prompt engineering, embeddings, or retrieval-augmented generation (RAG) • Exposure to model evaluation, fine-tuning, or AI performance monitoring, • Experience with event-driven architectures or real-time data processing, • Background in energy, fintech, or other complex data-driven industries

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. You'll be working alongside our pre-training data team, focused on one of the most foundational challenges in training frontier LLMs: acquiring the best possible pre-training data. The data we collect is upstream of everything. It directly shapes the capability of the models we train. As our first dedicated data acquisition engineer, you will spearhead and evolve systems that crawl the web at massive scale, rapidly ingest data from strategic partnerships, and build specialized tooling to maximize recall from high-value sources. You'll collaborate closely with pre-training data researchers and engineers to ensure that our sourcing of data maps to our training needs, to ensure we have the most capable pre-trained models. To deliver the highest-quality, diverse, and most comprehensive data corpus to fuel the pre-training of frontier models for software development. Design, build, and operate a large-scale web crawler responsible for acquiring all openly accessible data on the internet Develop specialized deep crawlers targeting high-value sources to improve recall and coverage In collaboration with data researchers, own a long-term road map for data acquisition Build observability, monitoring, and debugging tooling to ensure reliability and transparency across crawl infrastructure Collaborate with pre-training, post-training, and evaluations teams to align data acquisition priorities with model training needs Build high-throughput ingestion pipelines for rapidly onboarding partner data and evaluating it for quality Strong distributed systems background with proven experience building and operating large-scale infrastructure — data pipelines, web crawlers, or similar Proficiency in Python, and comfortable optimizing performance and debugging complex systems under production conditions Hands-on experience with web crawling or large-scale data extraction: understanding of HTTP protocols, distributed job queues, and data parsing at scale Familiarity with cloud platforms (AWS) and container orchestration (Kubernetes, Docker) for deploying and managing high-throughput workloads Awareness of the non-technical dimensions of internet-scale crawling: data privacy, robots.txt adherence, and responsible crawl practices Nice to have: Prior experience pre-training LLMs Experience in building trillion-scale SOTA pre-training datasets Experience translating research to production at scale Intro call with one of our Founding Engineers Technical Interview(s) with one of our Members of Engineering Team fit call with the People team Final interview with one of our Founding Engineers Fully remote work & flexible hours 37 days/year of vacation & holidays 16 weeks of flexible, full-pay parental leave Health insurance allowance for you & dependents Company-provided equipment Well-being, always-be-learning & home office allowances Frequent team get togethers Diverse & inclusive people-first culture

Regional Sales Manager • Technical sales, • Award winning British manufacturer, • Supplied equipment across Europe, North America, Australia and Asia., • Established over 100 years ago, • Bespoke Packaging Machinery Food Industry, • Design, manufacture & assembly of machinery, • Depositors and filing machines selling into food manufacturing, • World Class training and Professional Development, • Up to £55,000 Basic salary (experience dependent), • Home Office, Company Car, Pension, Laptop, Mobile Phone, Credit Card and Bonus, on target earnings of £70,000+, • Midlands/South UK, • Home Based could live in Birmingham, Coventry, Leicester, Nottingham, Oxford, Swindon, Gloucester,Northampton, Peterborough, North London, • Mercury Hampton is working exclusively with this client. A long-established UK manufacturer of specialist filling machinery is seeking a Technical Sales Engineer to manage and grow a well-established territory across the midlands and theSouth of England. The company has been trading successfully for over 100 years, with a strong reputation for quality, reliability, and technical support across a range of sectors including food, chemical, industrial, and personal care. Due to an upcoming retirement, this is a great opportunity to join a stable business with a turnover of approx. £20m per year and take ownership of a diverse customer base, from artisan producers to major manufacturers. The Role • Covering the South of England (Midlands-based ideal), • Area turning over £700k and looking to increase to £1m, • 70% account management, 30% new business development, • Engage with decision-makers across production, operations, and technical teams, • Conduct site visits and live demonstrations to advise on tailored equipment solutions, • Represent a trusted UK manufacturer with a strong, loyal customer base, • Report on monthly sales activity and manage your own pipeline, • Supported by in-house technical and engineering specialists The Candidate • Background in technical sales of capital or industrial equipment, • Strong mechanical engineering aptitude or qualifications (apprenticeship or degree ideal), • Experience in packaging machinery, filling systems, or related equipment is a bonus, • Confident communicator with a consultative sales approach, • Strong territory management and client relationship skills, • Comfortable working independently from a home base, • Energetic, self-motivated, and commercially astute The Package • Basic Salary: Up to £55,000 (dependent on experience), • Commission: Uncapped, with realistic earnings of £70k, • Company Car, • Pension: Up to 5% employer contribution, • Laptop, Mobile Phone This is a fantastic opportunity to take over a warm, active region for a business that values long-term relationships and engineering integrity. If you are interested in this opportunity call Craig McDonald on 01925 937 311 or email your CV to craig.mcdonald@mercuryhampton.com

Job Title: Devops engineer Location : Edinburgh UK Work mode : Hybrid Experience: 8 + Years Key Responsibilities: Design, implement, and manage CI/CD pipelines for automated builds, testing, and deployments. Maintain and optimize infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation. Manage cloud infrastructure (AWS, Azure, or GCP) for high availability and scalability. Implement and monitor container orchestration platforms (Kubernetes, Docker, EKS, AKS, GKE). Ensure system reliability through logging, monitoring, and alerting solutions (Prometheus, Grafana, ELK/EFK, CloudWatch). Drive automation initiatives to reduce manual effort and improve system efficiency. Collaborate with development, QA, and security teams to enable DevSecOps practices. Troubleshoot production issues, perform root cause analysis, and apply permanent fixes. Contribute to disaster recovery and backup planning. Mentor junior engineers and share best practices within the team. Required Skills & Qualifications: 8–12 years of proven experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles. Strong expertise in cloud platforms: AWS / Azure / GCP. Hands-on experience with CI/CD tools: Jenkins, GitLab CI, GitHub Actions, ArgoCD, etc. Proficiency in Infrastructure as Code (IaC): Terraform, Ansible, Helm. Solid understanding of Kubernetes & containerization. Knowledge of networking, load balancing, security, and firewalls in cloud environments. Expertise in monitoring, logging, and observability. Scripting/programming skills in Python, Bash, or Go. Familiarity with DevSecOps practices and security compliance standards.

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.

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.

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 Backend Software Engineer, you will be responsible for designing, building, and maintaining the server-side components of our applications. You will collaborate closely with product managers, frontend developers, and other cross-functional teams to deliver robust and scalable backend services that power critical features and support rapid growth. 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. API & Service Architecture - Design and build RESTful or GraphQL APIs, microservices, and business logic using Node.js and TypeScript. Database Design & Integration - Model data and manage queries using Supabase and PostgreSQL, including functions, row-level security, and real-time features. Cloud Infrastructure - Deploy and manage services on Google Cloud Platform (GCP), particularly with Cloud Run, Cloud Functions, IAM, and Pub/Sub. Code Quality & Testing - Write clean, testable code using unit, integration, and end-to-end testing frameworks (e.g., Jest). Contribute to code reviews and quality assurance practices. Security & Reliability - Implement secure-by-default solutions for authentication, authorization, and data protection, following Clean Code and Clean Architecture principles. Monitoring & Operations - Set up logging, monitoring, and alerting for backend services. Own incident response and uptime improvements. Team Collaboration - Participate in architecture discussions, mentor team members, and document your decisions and systems for internal knowledge sharing. 5+ years in backend engineering roles; Proficiency in Node.js and TypeScript; Strong experience with Supabase or equivalent PostgreSQL-based backend services; Hands-on experience with cloud platforms (e.g., GCP, AWS, Azure), including deploying and managing services using serverless compute (e.g., Cloud Run, AWS Lambda, Azure Functions); Solid knowledge of Clean Code and Clean Architecture practices; Experience with API design (REST) and cloud-native application development; Familiarity with CI/CD pipelines, testing tools, and Git workflows; Strong grasp of security principles, data protection, and compliance best practices; Effective communicator and proactive team contributor; 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.

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! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (peferred) Python Proficiency: Experience with Python for AI prototyping and tooling (prefered) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem 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

You won't just work closely with the engineering team, you will be on the engineering team. Linux systems engineering experience. Teleport is the Infrastructure Identity Company, modernizing identity, access, and policy for infrastructure, improving engineering velocity and resiliency of critical in

Description Location: Remote - UK working hours Remote | Full-time Compensation: £90K - £110K We are hiring on behalf of our client, a high-performance financial technology organization specializing in advanced integration service products. The client develops and delivers an innovative, hosted integration platform that enables global financial institutions to maintain a flexible operational infrastructure without requiring internal engineering resources to address connectivity challenges across diverse trading venues. The successful candidate will join a multi-disciplinary Site Reliability Engineering (SRE) team that actively champions a comprehensive automation culture. The mandate of this department is broad and impactful, covering everything from desktop and laptop infrastructure support to sophisticated data center server provisioning and global vendor network connectivity. While each team member brings distinct areas of technical specialization, the department operates under a shared-responsibility model for the entire production environment. The client is seeking a collaborative, growth-oriented professional who can meaningfully contribute to operational excellence while continuously developing their technical capabilities. Key Responsibilities • Automated Infrastructure Provisioning: Architect and build automated provisioning systems for global server and network architectures across both physical bare-metal environments and public cloud infrastructure (AWS, GCP)., • Continuous Delivery Pipeline Management: Evolve, maintain, and optimize the Continuous Delivery (CD) pipeline responsible for provisioning servers, configuring network switches, and deploying core software updates., • External Stakeholder Interfacing: Interact directly with hardware vendors, telecommunications providers, and external financial institutions to manage connectivity and optimize remote operations., • Collective System Ownership: Take shared ownership of the stability, performance, and monitoring of the end-to-end production environment alongside a tight-knit engineering team. Requirements Core Technical Competencies: • Foundational Coding Capability: Practical experience with software engineering is required. While expert-level software engineering is not mandatory, proficiency in basic programming within a language of choice is necessary to construct functional code and utilities independently., • Infrastructure Automation: Demonstrated experience working with software automation tools (specifically Ansible), combined with the coding agility needed to automate all configuration environments., • Systems & Network Administration: Proven experience operating as a Systems Administrator or Network Engineer, paired with a balanced, comprehensive understanding of both domains. Professional & Interpersonal Attributes: • A constructive, open-minded, and self-motivated approach to technical problem-solving., • A strong belief in lifelong learning and an awareness of evolving technologies., • High professional autonomy, with a proven ability to take the initiative within a collaborative, team-oriented ecosystem., • Experience managing third-party relationships, negotiating with vendors, procuring hardware, and supporting remote workforce initiatives via phone and email. Preferred (Non-Essential) Qualifications: • Familiarity with enterprise Authentication Protocols (e.g., SAML, OAuth2, Active Directory, Kerberos)., • Technical proficiency in Microsoft and Azure Active Directory., • Hands-on exposure to Database High Availability (HA) frameworks, including clustering and replication models (e.g., PostgreSQL). Benefits • Competitive Base Compensation: Up to £110,000 per annum, commensurate with experience and skill set., • Equity Participation: Allocation of company share options., • Corporate Benefits: A comprehensive standard benefits package., • Workplace Flexibility: Remote-first working philosophy with flexible arrangements within the UK and Europe, complemented by a modern workspace in Moorgate, London. Interview Process The client utilizes a transparent, structured four-stage evaluation process to ensure deep alignment across technical competencies and professional values: • Initial Screening Call: An introductory conversation with the Talent Acquisition/HR team to evaluate background, operational scope, and career trajectory., • Hiring Manager Interview: A 1-hour in-depth technical domain screen focusing on core systems engineering, network topology, and architecture principles., • Technical Evaluation: A 2-to-3-hour practical interview incorporating a live coding and infrastructure automation exercise., • Executive Interview: A final strategic conversation with the firm’s three Founders to discuss corporate vision and collective cultural fit. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

About ALSO. We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO—replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient. ALSO is looking for a Staff Software Engineer, Emerging Markets - a hands-on Software Engineering Leader to own the end-to-end software architecture and development across the vehicle and connected ecosystem. You will remain deeply involved in software architecture, firmware design, system integration, and technical decision-making, while also coordinating development across a small internal team and several specialist external partners. The ideal candidate combines strong embedded systems expertise with the ability to drive complex multi-team software delivery, and is comfortable leveraging AI-assisted engineering tools to accelerate development and validation. What you will do: 1. Software Program Coordination Coordinate delivery of the software platform across internal teams and external development partners. Responsibilities include: Managing the software development roadmap Aligning software milestones with vehicle development programs Coordinating firmware, cloud, and application development Managing technical dependencies between teams Supporting system integration and release planning This aspect of the role ensures that multiple software workstreams converge into a production-ready system. 1. Software Architecture and Technical Ownership Own and define the overall software architecture for the platform, spanning vehicle firmware, connectivity, and cloud integration. Responsibilities include: Defining the end-to-end software architecture Designing key elements of the vehicle firmware stack Establishing software interfaces between vehicle systems, cloud services, and applications Reviewing and contributing to embedded and systems-level code Leading architectural decisions for scalability, reliability, and security Guiding development of critical firmware components You will remain hands-on with technical design and system integration, particularly for the vehicle control and connectivity layers. 1. Vehicle Embedded Systems Development Lead development of the vehicle embedded software stack, including: Vehicle Control Module (VCM) firmware Battery Management System (BMS) firmware Power management and energy optimisation Diagnostics and telemetry systems Sensor and actuator integration Vehicle networking (e.g. CAN) Work closely with hardware engineers to ensure tight hardware–software co-design. 1. Connected Vehicle and IoT Platform Define and implement the vehicle connectivity architecture, including: Secure vehicle-to-cloud communication Telemetry and diagnostics pipelines Remote vehicle monitoring and control Fleet and asset management integration Over-the-air software updates Charging ecosystem integration Ensure the connected platform is secure, scalable, and reliable. 1. Software Engineering Leadership Establish engineering standards across the platform including: Coding standards and best practices Development workflows Continuous integration and testing pipelines Simulation and validation environments Software quality and release processes Provide hands-on technical leadership and mentorship to engineers and partners. 1. External Partner and Supplier Integration Work closely with external engineering partners responsible for parts of the software stack. Responsibilities include: Defining technical interfaces and integration requirements Reviewing partner architecture and code deliverables Ensuring adherence to engineering standards and security practices Integrating externally developed modules into the platform Supporting joint debugging and system integration 1. AI-Augmented Engineering Drive adoption of AI-assisted software development tools across the engineering ecosystem. Use cases include: AI-assisted code generation Automated test creation Static analysis and validation Simulation-driven verification AI-assisted debugging and optimisation The objective is to maximize engineering productivity while maintaining high-quality production software. Key Deliverables of the role: Production-ready vehicle firmware and control systems Integrated BMS and power management software Secure connected vehicle architecture Reliable OTA update capability Integrated vehicle + cloud ecosystem Robust software development and validation pipeline Degree qualified with 5+ years in embedded software, vehicle systems, robotics, or connected devices Strong experience with embedded firmware development Experience designing complex hardware-integrated software systems Experience leading multi-disciplinary engineering programs Strong experience with: Embedded C/C++ Real-time embedded systems / RTOS CAN or vehicle network architectures Firmware–hardware integration Cloud-connected device platforms (AWS / Azure / GCP) System integration and debugging Electric vehicle platforms Battery Management Systems IoT connectivity platforms OTA update systems Cybersecurity for connected devices Mobile or user-facing applications Leadership Qualities Be deeply technical and comfortable contributing to architecture and code Balance hands-on engineering with delivery leadership Thrive in startup-scale engineering environments Build strong relationships with external engineering partners Drive rapid but disciplined product development Why ALSO. We’re passionate about helping the world find a better way to get there—wherever it is you’re headed. We’re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. Together we’re working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges. Perks and Benefits Robust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options. One Medical membership and dedicated insurance advocates. Rich fertility and family building benefits with Progyny. Flexible time off. 401(k) match.

Job Title: Design Engineer Power Systems Location: Wigan Salary: £40,000 £50,000 per annum + Benefits Are you an experienced Design Engineer with a background inpower systems? Do you want to contribute to high-impact projects within the utilities sector, particularly supporting substation applications? If so, this could be your ideal next role. About the Company: We are recruiting on behalf a leading provider of critical power solutions. Established for over 3-yrs, they specialise in the design, manufacture, and delivery of high-performance power systems and power infrastructure for blue-chip commercial clients and utility companies, and DNOs across the UK. With a strong reputation for technical innovation and reliability, they are growing and looking to expand their design team with a experienced and proactive Design Engineer. The Role: As a Design Engineer, you will be responsible for creating and optimising bespoke powersystem designs tailored to client requirements, ensuring compliance with industry standards and best practices. The role includes technical specification, site assessments, and supporting implementation alongside the wider ...

We are looking for an electrically biassed Maintenance Engineer for one of our long-standing clients based near Wigan. My client is a global manufacturer and have been operating in the area for over 100 years. An exciting opportunity for a Maintenance Engineer to join this great company on their 4-shift rota. You will play a key part in ensuring the smooth operation on all production equipment, contributing to the efficiency and reliability of the manufacturing process. Maintenance Engineer Benefits: • £40,000 - £56,900 (DOE), • OT at premium rates., • Training and Progression., • 33 Days holiday including BH., • Secure car park., • Pension., • Training and Progression Opportunities. Maintenance Engineer Duties include: • Monday Friday. (8am 4pm / 6am 2pm / 10pm 6am / 2pm 10pm) 4-week rotation., • Carry out routine and preventative maintenance on electrical and electromechanical equipment., • Diagnose and repair electrical faults to minimize downtime., • Support continuous improvement initiatives and implement solutions to enhance equipme...