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JobTitle: Junior Electronic Design EngineerLocation: Cambridge (Hybrid Working - 3 Days On-Site Per Week)Salary: £35,000 - £50,000 + Bonus & Benefits (Depending on Experience) Please Note: All Applicants must have the right to work in the UK without the need for VISA sponsorship now or in the future.Role Overview:Zenovo are looking for an Junior Electronic Design Engineer to join their client in Cambridge who design and manufacture globally recognised consumer electronics.An ideal candidate will have at least 1-Year of Experience outside of University however we are happy to consider candidates who have done a Sandwich Degree and completed a year in Industry during their studies.Job Responsibilities: \n\n • Work on electronics hardware development projects, with hands-on involvement in specification, design, implementation, and testing.\n, • Contribute to the continuous improvement of internal hardware development processes in collaboration with the Head of Software and Electronics.\n, • Support EMC design, testing, and compliance efforts.\n, • Perform product testing, including functionality, reliability, and safety assessments.\n, • Undertake PCB rework and support prototyping activities.\n, • Take ownership of assigned work packages, providing regular progress updates and ensuring delivery to agreed deadlines.\n, • Coordinate with external suppliers and contract manufacturers.\n, • Develop and support the creation of test procedures for both laboratory and manufacturing environments.\n, • Produce clear, professional-standard test reports\nRequired Skills & Experience: \n\n, • Understanding of core electronics engineering principles, including analogue design, SMPS, EMC/EMI, and PCB development.\n, • Ability to collaborate within multidisciplinary teams to diagnose issues and deliver effective engineering solutions.\n, • Skilled in PCB design and schematic capture using Altium, or willing to develop expertise in this area.\n, • Proficient in the use of test and measurement equipment such as, oscilloscopes, digital multimeters (DMMs), current probes and power supplies.\n, • Demonstrates energy and enthusiasm for product development in fast-paced, dynamic environments.\n, • Excellent interpersonal skills, with the ability to engage and communicate effectively with a wide range of stakeholders.\n, • Degree in Electronics Engineering or a related field.\nBenefits: - 25 Days Annual Leave + Bank Holidays- Hybrid Working (Outside of an onboarding period)- Annual Bonus (At least 5%)- Enhanced Employer Pension Contributions- Access to External Training & Development Courses/Qualifications

Mechanical Maintenance Engineer 4 on / 4 off Shift Pattern | 12-hour shifts (07:00-19:00 / 19:00-07:00)Hays Recruitment are working in partnership with a leading FM contractor to recruit a Mechanical Maintenance Engineer for a large, operational hospital site.This is a shift-based role working a 4 on / 4 off pattern, consisting of 12-hour shifts alternating between days and nights. The position is mechanically biased but requires flexibility to support other trades as part of a multi-skilled estates team.The RoleWorking within a critical healthcare environment, you will be responsible for the ongoing maintenance and reliability of mechanical building services, ensuring hospital operations remain safe, compliant, and fully functional at all times.Key ResponsibilitiesPlanned preventative maintenance (PPM) and reactive maintenance on mechanical systemsFault finding, diagnostics, and repair of mechanical plant and equipmentMaintenance of HVAC systems, pumps, motors, valves, pipework, and associated servicesResponding to breakdowns and emergency call-outs during shift hoursAssisting other engineering trades when required to support site operationsEnsuring all works comply with health & safety legislation and hospital proceduresCompleting documentation, maintenance records, and shift handover reportsSkills & Experience RequiredRecognised mechanical engineering qualification (NVQ Level 3, City & Guilds, or equivalent)Proven experience in a maintenance engineering roleStrong mechanical fault-finding capabilityWillingness to work a rotating day/night shift patternFlexible attitude with the ability to support other trades where requiredGood communication skills and a professional approachWhat You'll ReceiveCompetitive salary - £45,000 +Long-term opportunity with a well-established contractorStructured shift pattern with regular rest periodsOpportunities for training and developmentWhat you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. \n Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Multi-Skilled Maintenance Engineer\n Location: Cambridge, UKSalary: £43,000 per annum £3,188 annual standby allowance (following successful completion of probation and participation in a 1-in-3 standby rota) overtime opportunitiesHours: Monday to Friday, 8:00am – 5:00pm The Opportunity\n We're recruiting on behalf of a long-established and respected food manufacturing business with over 100 years of industry success. Specialising in the sourcing and processing of rice and grains for UK manufacturers and wholesalers, our client continues to invest in its people, equipment, and future growth. \n This is an excellent opportunity for a Multi-Skilled Engineer looking to join a stable business where your expertise will play a key role in maintaining and improving production operations. Key Responsibilities\n\n • Carry out planned preventative and condition-based maintenance across a range of electro-mechanical equipment.\n, • Respond to reactive breakdowns, diagnosing faults and completing repairs efficiently.\n, • Manufacture and repair components using workshop machinery including lathes, milling machines, and welding equipment.\n, • Support continuous improvement initiatives by working closely with production teams to enhance equipment performance and reliability.\n, • Maintain accurate maintenance records using a CMMS system.\n, • Coordinate and liaise with on-site contractors when required.\n, • Participate in ongoing training and development to maintain technical knowledge and professional competence.\nWhat We're Looking For\n\n, • Level 3 Engineering qualification (or equivalent).\n, • Previous experience within a Food Manufacturing or FMCG environment.\n, • Strong electro-mechanical maintenance experience.\n, • Ability to read and interpret schematic drawings.\n, • Experience working with milling equipment.\n, • Good knowledge of hydraulics and pneumatics.\n, • PLC programming knowledge would be advantageous but is not essential.\n, • A proactive approach to fault finding, problem solving, and continuous improvement.\nWhat's in It for You?\n\n, • Competitive salary of £43,000.\n, • £3,188 annual standby allowance (following probation and participation in the standby rota).\n, • Overtime available.\n, • Monday to Friday working pattern – enjoy your weekends.\n, • Company pension scheme (People's Pension).\n, • 20 days annual leave plus bank holidays, increasing by one day each year up to 25 days.\n, • Free on-site parking.\n, • Long-term career prospects within a well-established and growing manufacturer.\n\n If you're an experienced Multi-Skilled Engineer looking for your next challenge within a secure and respected manufacturing business, we'd love to hear from you. \n Apply today or contact us for a confidential discussion.

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, and security of critical systems and platforms that support national defence operations. You will collaborate with cross-functional teams to design, implement, and maintain robust quality assurance processes, ensuring compliance with industry standards and policies. QA Engineer - Job Requirements Essential Skills & Experience: Proven experience as a QA/Test Engineer with a focus on both application and infrastructure testing. Strong background in automated testing frameworks (e.g., Selenium, Cypress, Playwright, or similar). Solid understanding of quality assurance methodologies, tools, and processes. Experience validating Infrastructure as Code (IaC) changes (e.g., Terraform, Ansible, CloudFormation). Proficiency in working with CI/CD pipelines, particularly within OpenShift or similar containerized environments. Ability to define and implement quality gates in CI/CD workflows. Familiarity with DevSecOps practices, including security considerations in testing and release processes. Strong scripting skills (e.g., Python, Bash, Groovy, or similar) to support test automation and pipeline integration. Comfortable working in agile and fast-paced development environments. Excellent analytical, problem-solving, and communication skills. Desirable: Experience with container orchestration and monitoring tools (e.g., Kubernetes, Prometheus, Grafana). Exposure to cloud platforms (AWS, Azure, GCP) in a QA/testing capacity. Knowledge of static code analysis tools and vulnerability scanners (e.g., SonarQube, Snyk). ISTQB certification or equivalent is a plus. Due to the timescales of the project and organisation it sits within, the successful candidate will need to currently hold SC Clearance to be successful as the role will be an immediate start. Please consider this when applying for the position. If you are interested in the role and would like to apply, please click on the link for immediate consideration.

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, and security of critical systems and platforms that support national defence operations. You will collaborate with cross-functional teams to design, implement, and maintain robust quality assurance processes, ensuring compliance with industry standards and policies. Required Skills and Qualifications: • Proven experience in quality assurance or software testing, preferably within defence or government sectors., • Strong knowledge of testing methodologies, tools, and frameworks (e.g., Selenium, JIRA, TestRail)., • Familiarity with MOD policies and standards, including security and compliance requirements., • Excellent analytical and problem-solving skills, with attention to detail., • Ability to work collaboratively in a multidisciplinary team environment., • Strong communication skills to convey technical findings to non-technical stakeholders., • Relevant certifications (e.g., ISTQB, ISO 9001:2015) are a plus Due to the timescales of the project and organisation it sits within, the successful candidate will need to currently hold SC Clearance to be successful as the role will be an immediate start. Please consider this when applying for the position. If you are interested in the role and would like to apply, please click on the link for immediate consideration.

QA Engineer - UI Testing & Infrastructure as Code (IaC) Active SC Clearance required Location: Remote (UK Based, occasionally in Corsham office) Day Rate: £550 - £650 per day Inside IR35 (depending on experience) Duration: 12 Months About the Role We're looking for a detail-oriented and proactive QA Engineer with a passion for delivering high-quality user experiences and robust infrastructure. This role is ideal for someone who thrives in a fast-paced, agile environment and has hands-on experience in UI test automation and Infrastructure as Code (IaC) practices. What You'll Do • Design, develop, and maintain automated UI tests for web applications using tools like Cypress, Playwright, or Selenium., • Collaborate with developers, designers, and product managers to ensure UI quality and usability., • Implement and manage IaC solutions using tools such as Terraform, Pulumi, or AWS CloudFormation., • Integrate UI tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI)., • Perform cross-browser and responsive testing using platforms like BrowserStack or Sauce Labs., • Monitor and report on test coverage, performance, and reliability., • Contribute to test strategy, documentation, and best practices. What We're Looking For • Proven experience in UI test automation for modern web applications., • Strong knowledge of JavaScript/TypeScript, or other scripting languages., • Experience with IaC tools (Terraform, Pulumi, etc.) and cloud platforms (AWS, Azure, or GCP)., • Familiarity with CI/CD pipelines and integrating automated tests., • Understanding of Agile methodologies and DevOps practices., • Excellent problem-solving skills and attention to detail., • Strong communication and collaboration skills. Nice to Have • Experience with mobile UI testing (e.g., Appium)., • Knowledge of containerization (Docker, Kubernetes)., • Exposure to monitoring and observability tools.

QA Engineer - UI Testing & Infrastructure as Code (IaC) Active SC Clearance required Location: Remote (UK Based, occasionally in Corsham office) Day Rate: £550 - £650 per day Inside IR35 (depending on experience) Duration: 12 Months About the Role We're looking for a detail-oriented and proactive QA Engineer with a passion for delivering high-quality user experiences and robust infrastructure. This role is ideal for someone who thrives in a fast-paced, agile environment and has hands-on experience in UI test automation and Infrastructure as Code (IaC) practices. What You'll Do • Design, develop, and maintain automated UI tests for web applications using tools like Cypress, Playwright, or Selenium., • Collaborate with developers, designers, and product managers to ensure UI quality and usability., • Implement and manage IaC solutions using tools such as Terraform, Pulumi, or AWS CloudFormation., • Integrate UI tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI)., • Perform cross-browser and responsive testing using platforms like BrowserStack or Sauce Labs., • Monitor and report on test coverage, performance, and reliability., • Contribute to test strategy, documentation, and best practices. What We're Looking For • Proven experience in UI test automation for modern web applications., • Strong knowledge of JavaScript/TypeScript, or other scripting languages., • Experience with IaC tools (Terraform, Pulumi, etc.) and cloud platforms (AWS, Azure, or GCP)., • Familiarity with CI/CD pipelines and integrating automated tests., • Understanding of Agile methodologies and DevOps practices., • Excellent problem-solving skills and attention to detail., • Strong communication and collaboration skills. Nice to Have • Experience with mobile UI testing (e.g., Appium)., • Knowledge of containerization (Docker, Kubernetes)., • Exposure to monitoring and observability tools.

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.

About Air Apps 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. We are looking for a Backend QA Engineer to help ensure the reliability, performance, and scalability of our backend systems. In this role, they will focus on testing APIs, databases, and backend services while collaborating closely with engineers to maintain high-quality standards across our infrastructure. 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. The ideal candidate has approximately 2–3 years of experience working with backend technologies such as Node.js and TypeScript and enjoys combining software development practices with quality assurance. They will contribute to test design, automation, API validation, and infrastructure review while helping maintain a strong quality culture within the engineering team. Design and execute tests for backend systems, including APIs, databases, and service integrations. Validate API functionality and performance using tools such as Postman, Swagger, or similar platforms. Test and verify database operations, queries, and data integrity in systems using PostgreSQL or similar relational databases. Collaborate with engineering teams to review pull requests, ensuring code quality and test coverage. Support the development and maintenance of automated tests for backend services. Participate in reviewing backend infrastructure and identifying potential reliability or performance issues. Document and track defects, test cases, and test results using test management tools such as TestRail or similar systems. Work closely with developers and product teams to improve testing strategies and overall product quality. Approximately 2–3 years of experience working with backend technologies, testing, or software development in test roles. Experience with Node.js and TypeScript in backend environments. Familiarity with SQL databases, particularly PostgreSQL, and experience validating database queries and data integrity. Experience testing REST APIs using tools such as Postman, Swagger, or similar API testing tools. Understanding of backend testing practices, including API testing, database testing, and integration testing. Familiarity with test management tools such as TestRail or comparable platforms is beneficial. Comfort reviewing pull requests and backend architecture changes to help ensure quality standards. Strong attention to detail, problem-solving skills, and the ability to collaborate with cross-functional teams. 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. Urban Sports Club membership to keep you active. Meals 100% free at the office. Pension Fund to support your long-term financial planning. Annual Conference: an opportunity to meet the team, collaborate, and grow together. Apple hardware ecosystem for work. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

We 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.

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.

Backend Software Engineer / Developer (Elixir Ecto AI) Remote UK to £110k Are you a senior, backend focussed Software Engineer with advanced Elixir coding skills, Ecto database experience and a keen interest in AI? You could be progressing your career in an impactful Backend Software Engineer role at a highly successful American sports data analytics company that is expanding its UK presence. As a Backend Software Engineer you'll join a small team working with Elixir to design, develop and deploy backend applications and services, ensuring performance and reliability with a focus on data processing and aggregation pipelines. You will collaborate to build a new API suite to help power NFL teams and also contribute to future AI product offerings, helping to drive the use of Artificial Intelligence in the product. You'll work across the full software development lifecycle, participate in code reviews and explore emerging technologies as part of a collaborative, remote team of technologists who enjoy what they do. About you: • You have advanced Elixir coding skills combined with a strong knowledge of Ecto database, • You have experience of designing and building APIs, • You have a keen interest in Artificial Intelligence and are keen to explore it's uses and drive the adoption of AI in the business, • You are collaborative with fluent English language skills, • You're likely to be degree educated in Computer Science or similar technical discipline What's in it for you: As a Backend Software Engineer / Developer you will receive a competitive package: • Salary to £110k + bonus, • Remote working and flexible hours, • Unlimited holiday, • Career progression as the company scales Apply now to find out more about this Backend Software Engineer / Developer (Elixir Ecto AI) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

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 .

Description Role Title: Senior Cloud Engineer (OpenStack Platform) Location: Remote, UK About Brightsolid Brightsolid is a leading provider of hybrid cloud and managed services, delivering secure, sovereign, AI-ready infrastructure platforms across the UK. Our next-generation cloud platform is built on an open, extensible architecture using Canonical’s OpenStack, enabling scalable, resilient, and multi-tenant cloud services for modern workloads including virtual machines, containers, bare metal and AI platforms. Role Overview The Senior Cloud Engineer is a senior technical role within the Cloud Engineering function, responsible for the design, implementation, and ongoing operation of Brightsolid’s large-scale OpenStack-based cloud platforms and associated storage systems. You will act as a technical leader within the team, ensuring that platforms are architected correctly for multi-tenant environments while supporting the ongoing evolution of the Brightsolid Cloud platform. This role represents a shift from traditional public cloud and VMware-based platforms towards open-source technologies, with a strong focus on OpenStack, Canonical tooling, and large-scale infrastructure engineering. Key Responsibilities • Technical Leadership, • Provide hands-on technical leadership across OpenStack-based cloud platforms, acting as a subject matter expert in cloud infrastructure and distributed systems., • Support the development of engineering standards, patterns, and reusable designs, while mentoring other engineers within the team., • Ensure solutions are designed to meet both customer and business requirements in multi-tenant environments., • Platform Engineering, • Design, implement, and manage Brightsolid’s OpenStack cloud platform, including compute, storage, and networking components., • Work across the full lifecycle of the platform, including build, deployment, optimisation, and scaling of services., • Ensure the platform remains highly available, resilient, and capable of supporting diverse workloads., • Storage and Data Platforms, • Design and support large-scale storage platforms underpinning the cloud environment, including high-performance and enterprise storage solutions., • Contribute to the architecture and operation of block, object, and distributed storage services, ensuring performance, durability, and scalability requirements are met., • Automation and Infrastructure as Code, • Drive the adoption of infrastructure-as-code and automation practices across the cloud platform., • Develop and maintain deployment tooling, orchestration templates, and automation pipelines to ensure consistent and repeatable platform delivery., • Support a continuous delivery approach for infrastructure services., • Operations and Service Reliability, • Support the ongoing operation of the Brightsolid cloud platform, including monitoring, troubleshooting, and resolution of complex issues., • Ensure platform compliance, patching, and lifecycle management activities are performed in line with operational standards., • Contribute to a high-availability, 24x7 service environment., • Technology Strategy and Innovation, • Contribute to the evolution of Brightsolid’s cloud platform, working closely with Cloud Engineering leadership and Product Management to enhance capabilities and introduce new technologies., • Support the ongoing transition to open-source platforms and ensure alignment with long-term strategic goals., • Collaboration and Stakeholder Engagement, • Work closely with Network Engineering, Security Operations, Product Management, and Customer Success teams to deliver integrated cloud services., • Engage with external partners including Canonical to support platform development, deployment, and optimisation. Requirements Key Skills and Experience Essential • Strong experience in a senior cloud engineering or infrastructure engineering role., • Demonstrated experience designing and operating large-scale cloud platforms or distributed systems., • Proven expertise in Linux-based systems and infrastructure. Strong understanding of infrastructure-as-code and automation principles., • Experience working in a managed service or service provider environment delivering high availability solutions. Desirable • Experience with OpenStack and associated technologies including compute, networking, and orchestration services., • Experience with distributed storage platforms and data services., • Familiarity with Canonical tooling and cloud deployment models., • Experience with automation frameworks such as Ansible, Terraform, or equivalent tooling. Experience supporting multi-tenant environments and large-scale infrastructure platforms. Behaviours and Attributes • Strong technical leadership with the ability to influence design and engineering decisions., • Collaborative approach with the ability to work across multiple technical domains., • Customer-focused mindset with a strong emphasis on service quality and reliability., • Ability to operate both strategically and at a detailed technical level., • Continuous improvement mindset aligned to modern engineering practices. This role is central to delivering Brightsolid’s next-generation cloud platform, focused on open-source technologies, platform sovereignty, and enabling customers to run modern, scalable workloads on a secure and high-performance infrastructure foundation. To apply for this role, please follow our online application process and submit a CV and cover letter. Closing date for applications: 29th July at 12:00noon Benefits

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

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

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.

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.

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. This is a deeply technical, hands-on role. Work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. You work at the intersection of user needs, model capability, and system constraints, and are responsible for turning AI potential into real, reliable behavior in a real-world application. Research and define end-to-end AI system requirements from capability to behavior to user impact Translate model capabilities, data constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Drive execution with clear specs, strong judgment, and disciplined prioritization Ensure systems ship quickly, safely, and reliably, with strong feedback loops Own product quality end-to-end - correctness, predictability, and user trust Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents. Hands-on exposure to AI-powered products, including LLM-based systems. Experience working with model evaluation, prompt or pipeline iteration, and feedback loops. Strong intuition for model limitations, hallucinations, bias, and drift. Significant experience owning complex, technical products end-to-end. Proven ability to work closely with senior engineers and ML teams. Strong judgment and decision-making ability in ambiguous, fast-moving environments. Ability to balance ambition with technical and operational reality. Experience shipping AI-heavy consumer products. Background as an engineer or highly technical product manager. Experience defining evaluation metrics for ML systems. Strong intuition for AI UX patterns and failure handling. Prior experience in zero-to-one product environments. Product strategy clearly aligns AI capabilities with user needs and company priorities. AI features deliver real value, are understandable, predictable, and trusted by users. Decisions balance quality, speed, cost, and reliability effectively under uncertainty. Roadmaps and priorities are clear, with fast iteration based on real user feedback. Teams are aligned, focused, and able to execute on AI product goals with minimal friction. The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product. If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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 .

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 .

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.

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

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. Pleo is investing heavily in AI-powered features across the product. You will be part of the GenAI Core team which is responsible for the horizontal platform infrastructure that makes this possible. They look afterLLM routing, MCP servers, vector search infrastructure, evaluation frameworks, and agentic tooling. This is a hands-on backend/platform engineering role at the intersection of distributed systems and modern AI engineering. You will help design, build, and operate the shared AI infrastructure used by product teams across Pleo, with a strong focus on reliability, observability, security, and developer experience. You'll be reporting to the Engineering Manager for the GenAI Platform team and will be working closely with senior and staff Engineers in GenAI Core. You will also collaborate with Applied AI Engineers, Data Scientists, and product engineering teams across the business. As a Senior GenAI Platform Engineer you will: Design, build, and operate core GenAI platform components used by product teams at Pleo, including LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling (tracing LLM calls, supporting human and automated evaluation, detecting drift, and tracking costs) and infrastructure for multi-step, long-running agentic workflows. Own production-quality delivery of platform features, from design through rollout, monitoring, and follow-up. Contribute to resilient system design: sensible APIs, failure handling, rate limiting, retries, idempotency, and safe change management. Improve reliability and observability through metrics, dashboards, alerting, incident follow-ups, and operational improvements. Partner with Applied AI Engineers and product teams to understand platform needs and help them build AI-powered features safely. Build internal SDKs, templates, and guardrails that let product engineers build AI features without needing deep infrastructure expertise. Support other engineers through pairing, code reviews, technical feedback, and clear documentation. Help evaluate build-vs-buy decisions in the rapidly evolving LLMOps tooling landscape. You will thrive in this role if you have: Strong backend/systems engineering background, with experience building and operating production services with reliability and observability requirements. Experience designing and delivering shared platform or infrastructure components used by multiple teams. Strong production ownership: monitoring, alerting, incident response, debugging, and post-incident learning. Distributed systems fundamentals, including async workflows, idempotency, consistency tradeoffs, and designing for failure. Hands-on experience with LLM APIs or strong interest in learning their production failure modes: rate limits, context windows, multi-vendor routing, latency variance, and cost control. Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage, and safe credential handling. Strong programming experience in either a JVM-based language or Python. We operate a polyglot platform with components written in both Kotlin and Python, and you’ll be expected to contribute to both. Clear communication and collaboration skills, especially when working with product teams and other engineers to turn ambiguous platform needs into practical solutions. This role is a good fit for you if: You are passionate about developer experience and get excited about being a force multiplier for engineering teams. You have moved past prototyping and have a deep understanding of the realities of LLMOps, data retrieval, prompt and context engineering, as well as model evaluation in production. You understand both the engineering and the data side of things, and are comfortable switching languages or technologies to achieve your goals. This role is not a good fit for you if: You are primarily interested in model research or algorithm development. This role is about building the tooling that enables product teams to ship AI features to production. You prefer building customer-facing features. Your key users will be other Pleo Engineers. You cannot explain AI trade-offs clearly to non-technical stakeholders. You will regularly work with Product Managers, Designers, and business leaders who need to understand what is and isn't possible. In your first 6 months at Pleo, you’ll: Develop a clear picture of how AI features are currently being built at Pleo and where the biggest infrastructure bottlenecks are. Take ownership of a core platform component such as the LLM gateway, RAG infrastructure, MCP gateway, or evaluation framework, and improve its reliability, observability, or developer experience. Deliver production-ready improvements with clear rollout plans, monitoring, and operational documentation. Partner with Applied AI Engineers and product teams to identify platform investments that would accelerate their work. Contribute to Pleo's internal standards for AI feature development: how we evaluate quality, manage prompts, and monitor production AI systems. We’re committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills! Please note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role. Your own Pleo card (no more out-of-pocket spending!) Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis We offer 25 days of holiday + your public holidays For our Team, we offer both hybrid and fully remote working options We use MyndUp to give our employees access to free mental health and well-being support with great success so far Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows: Intro call: A 30-minute chat with our Talent Partner to discuss the role and your background. Technical screening: A 15 to 30 minute call with our Talent Partner to check your knowledge of key technical topics. System design interview: A 75-minute practical session with our engineers focusing on scoping and designing an AI feature. Live coding interview: A 75-minute practical session with our engineers focusing on implementing your solution. Hiring Manager interview: A 60-minute conversation to deep dive into your knowledge and experience. Final interview: A leadership interview focusing on your behavioural, communication and collaboration skills. Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success! CV writing and content: we receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI—it’s a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background! Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process. Profile to role fit: this is neither a research-driven nor a traditional data or software engineering role. We're looking for someone with proven experience building platforms or tooling for agentic AI. We expect senior-level engineers to be able to work fully autonomously on an entire product feature from design to implementation. English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy _. Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.

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

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 .

Who We Are Having surpassed $300M ARR and continuing to grow, Optro is the leading audit, risk, ESG, and InfoSec platform on the market. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: Optro is top-rated on _ and Gartner Peer Insights. At Optro, we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the seventh year in a row, as ranked by Deloitte! Why This Role is Exciting Optro has a stateless containerized application architecture built on Kubernetes, hosted on multiple cloud platforms and regions, and maintained with our custom automation infrastructure software. Optro is looking for a Senior Software Engineer II specialized in Infrastructure Engineering who has industry experience scaling reliable and secure cloud infrastructure at a global scale. You'll bring end-to-end experience building, designing, and supporting a cloud-based infrastructure stack, and you're comfortable driving infrastructure projects from concept through to production as an individual contributor - taking requirements from QA, Engineering, Technical Support, and others, writing clear design documentation, and producing secure, scalable, robust implementations. You love to collaborate but can also work independently, and you're energized by mentoring fellow engineers and helping shape architecture decisions on the team. Key Responsibilities Architect and implement new cloud infrastructure to enable high-performance SaaS applications globally in the cloud. Drive infrastructure features end-to-end, from design documentation through implementation, rollout, and operational ownership. Build and deliver observability tools and analyze data, working with the application development team to ensure a consistently superb customer experience. Continue to grow automation for infrastructure provisioning, developer efficiency, and internal tooling efficiency. Apply AI-assisted development tools to accelerate IaC, automation, code review, and on-call workflows, while maintaining a high bar for security, correctness, and review discipline. Mentor fellow engineers and contribute to team-wide architecture decisions. Assist our customer support and sales teams with technical issues regarding the Optro application. Maintain reliability for our production systems to exceed our SLA requirements, including participation in an on-call rotation for production issues. Help define internal Service Level Objectives and Service Level Indicators for the Infrastructure Engineering team to drive better reliability. Collaborate with engineers, designers, and product managers; give and receive feedback well in a dynamic environment. Attributes for a Successful Candidate 5+ years of software development experience, with a track record of taking projects from concept to production Strong software development background with strong expertise in at least one programming language (Go, Python, TypeScript, or similar) Experience with Docker and running container orchestration systems (Kubernetes preferred) Experience working with cloud services providers (AWS or Azure preferred) Experience with Infrastructure as Code and other cloud automation tools (HashiCorp suite) Experience building observability tooling, dashboards, and alerting for monitoring distributed systems Experience designing globally distributed systems in a cloud-based, container-based world Comfort writing clear design documentation and influencing architecture decisions Fluency with AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) and good judgment about when and how to apply them Bonus: open-source contributions or prior experience defining SLOs/SLIs for production services *perks may vary based on eligibility/location Our Company Values Customer obsession: It starts and ends here. Consistently ask yourself how what you’re doing creates value for our customers. It’s a mindset. Gritty resilience: Make it happen. Find a way. Move fast, stay positive, and do what it takes. Drive innovation: Create the future. Continuously improve what exists and invent what’s next. Win, together: One team. No silos, no egos. Drive to be the best and support each other’s success. Growth mindset: 10x, not 10%. Think in orders of magnitude, not increments. Seek feedback, learn, and improve. Please note that background checks are required. 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. This role may have access to highly sensitive data, including employee data, customer data, company financials, and proprietary product information. We love building strong partnerships, but please note that Optro cannot accept unsolicited resumes from agencies. Any submissions without a signed agreement in place will not create a fee obligation. #LI-Remote

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 .

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

We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. • 8+ years of software engineering experience, with 3+ years leading engineering teams, • Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability), • Strong Node.js background and a clear point of view on building maintainable services at scale, • Experience designing platform-agnostic systems that can run on any major hyperscaler, • Track record of improving performance, scalability, and deployment velocity in production environments, • Proven ability to grow engineers, hire well, and run a team that ships consistently, • Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization), • Background scaling SaaS platforms or developer-facing products, • AWS certifications (Solutions Architect Professional, DevOps Engineer)

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 Site Reliability Engineer (SRE) at Air Apps, you will be responsible for ensuring the reliability, availability, and scalability of our systems. You will work at the intersection of software development and operations, implementing automation, monitoring, and performance optimization strategies to minimize downtime and improve system resilience. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Design and implement scalable, reliable, and fault-tolerant systems across cloud environments. Develop and maintain observability tools, including monitoring, logging, and alerting (e.g., Prometheus, Grafana, Datadog, ELK). Automate infrastructure provisioning, deployment, and incident response using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Optimize system performance, scalability, and incident response workflows to improve uptime. Work closely with development and DevOps teams to improve system design for reliability. Conduct root cause analysis (RCA) and implement preventative measures to minimize failures. Ensure high availability by designing and maintaining load balancing, failover, and disaster recovery strategies. Improve CI/CD pipelines to enhance deployment speed while maintaining stability. Optimize cloud cost and resource utilization for AWS, Azure, or Google Cloud Platform (GCP). Participate in on-call rotations to quickly address system failures and minimize downtime. Around 4+ years of experience in Site Reliability Engineering (SRE), DevOps, or System Engineering. Strong knowledge of cloud platforms (AWS, Azure, or GCP) and cloud-native architectures. Experience with observability and monitoring tools (Prometheus, Grafana, ELK, Datadog, New Relic). Proficiency in Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi. Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong Linux system administration and networking fundamentals. Experience with incident management, debugging, and root cause analysis. Proficiency in scripting (Bash, Python, or Go) for automation and system monitoring. Knowledge of load balancing, failover strategies, and distributed systems. Understanding of security best practices, access control, and compliance requirements. Strong communication skills and the ability to collaborate with cross-functional teams. 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.

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)

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.

Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: • Engineering large-scale data ingestion and processing pipelines, • Designing data lakes and distributed data platforms, • Enabling analytics and AI/ML workloads, • Supporting intelligence data exploitation workflows, • Integrating multiple classified data sources across secure environments Job Responsibilities • Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data., • Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings., • Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems., • Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use., • Build scalable, distributed data processing solutions using modern big data and parallel processing technologies., • Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms., • Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes., • Optimise data storage and processing architectures to support high‑performance analytical environments., • Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments., • Support the ongoing operation, observability and resilience of production data platforms. Skills Required • Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL., • Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop)., • Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools., • Experience working with cloud‑native data platforms, with strong expertise in AWS and native data services., • Familiarity with Infrastructure as Code and modern cloud‑native data architectures., • Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling., • Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions., • Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements). What’s in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. • More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most., • Private Medical Insurance: We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind., • Security Clearance Bonus: Up to £5,000 year, • Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve., • Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses., • Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present., • Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation., • Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services., • Recognition that counts: Great work doesn’t go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine., • Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

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

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.

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

Who We Are At Firstup, our mission is to improve the employee experience at every moment that matters, large and small. As the communication pipeline for the world's workforce, we now serve 40 of the Fortune 100 companies, reaching and connecting more than 17 million employees daily. Our employees are experts in the employee experience, workforce communications and technology. Joining Firstup means joining a movement to make work better for every worker. As the world’s first intelligent communication platform, Firstup meaningfully engages employees at every moment from hire to retire, and delivers engagement insights to help companies support, promote and retain their talent. Our movement has taken root and is evident in our world-class customer base. Now we need your help. Ready to make a difference in the world? Job Summary We're looking for a Senior Full Stack Engineer who thrives at the intersection of craft and scale. You'll design and deliver large-scale, multi-tenant cloud services — with a relentless focus on availability, fault-tolerance, and elegant architecture. You'll set the bar for engineering quality and help elevate those around you. Core Engineering & Ownership: Build and own scalable SaaS applications end-to-end — frontend, backend, and data layers. Write production-grade code that is reliable, readable, efficient, and testable. Raise the bar through thoughtful code reviews and comprehensive documentation. System Architecture: Design future-ready architectures and proactively close gaps before they become problems. Performance & Reliability: Drive system availability and performance — investigate, analyze, and resolve reliability issues across the stack. Recognize opportunities and advocate for better performance and efficiency of software, systems, and processes across teams. Shift Left Testing & Quality: You champion a rigorous 'shift-left' quality culture, embedding comprehensive testing—unit, integration, and contract—early and continuously in the development lifecycle, not as an afterthought. AI Integration: Leverage and advocate for AI-assisted tools (e.g., GitHub Copilot, Claude) to accelerate development while maintaining rigorous engineering judgment and accountability for code correctness. Leadership: Drive team-wide best practices, conduct quality code reviews, and mentor engineers to elevate overall engineering quality. Collaboration (Product & Design): Partner with Product and Design to translate requirements into intuitive UI, making informed technical trade-offs in the face of ambiguity. Collaboration (Engineering Standards): Champion engineering best practices across teams and collaborate on solving complex, high-impact problems. Bachelor's degree in Computer Science or related field, or equivalent experience. 5+ years building reliable, performant applications and microservices in production environments. Proven full stack fluency - you're comfortable across frontend, backend, and the database layer. A polyglot mindset — you evolve with the tech. Familiarity with Ruby on Rails, TypeScript, Node.js, or React.js is a strong plus. Proven full-stack experience across frontend (React.js), backend, and database layers. Technical depth in at least one engineering domain: distributed systems, multi-tenant SaaS, application databases, networking, security, serverless, event streaming, or similar. A genuine drive to build beautiful, intuitive products with the customer always in focus. Innate curiosity — you love learning and have a desire to teach and lift others. Strong communication skills and openness to collaborative idea-sharing across teams. • Core Stack Experience: Familiarity with Ruby (including Ruby on Rails), TypeScript, Node.js, or React.js is a strong plus. Why Firstup? Because you care - about people, the work you do, and the connections you make. Work is such a large part of life; it only makes sense to make it awesome. If you want to engage brilliant minds in a high-growth and inclusive environment where ideas are rewarded regardless of who they come from, join us. This is a rapidly changing space so if you thrive on ambiguity, are hungry for a challenge, and have the guts to speak your mind, you could be a perfect fit. We offer an excellent PTO program, great health benefits, a casual and friendly environment, remote work, and a leadership team who truly believes in your growth – both personally and professionally. Firstup is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state or local laws. #LI-TM1#LI-RemoteWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Who We Are At Firstup, our mission is to improve the employee experience at every moment that matters, large and small. As the communication pipeline for the world's workforce, we now serve 40 of the Fortune 100 companies, reaching and connecting more than 17 million employees daily. Our employees are experts in the employee experience, workforce communications and technology. Joining Firstup means joining a movement to make work better for every worker. As the world’s first intelligent communication platform, Firstup meaningfully engages employees at every moment from hire to retire, and delivers engagement insights to help companies support, promote and retain their talent. Our movement has taken root and is evident in our world-class customer base. Now we need your help. Ready to make a difference in the world? Job Summary The Sr. Software Engineer will join the team responsible for Firstup's public APIs, Agentic tools, third-party integrations with enterprise systems such as HRIS platforms, and shared platform services. You will deliver innovative, scalable solutions while constantly improving our approach to architecture, scale, availability, and fault-tolerance. You are an active user of Generative AI tools and coding agents, applying them daily to accelerate delivery and improve code quality. Design, build, and maintain public-facing APIs and Agentic tools that enable enterprise customers to integrate with and extend the Firstup platform. Develop and own integrations with external enterprise systems, including HRIS platforms such as Workday, SAP SuccessFactors, and Dayforce. Build and maintain shared platform services used across the wider engineering organisation. Write high-quality code (reliable, readable, efficient, testable, scalable, maintainable), provide thorough code reviews, and create comprehensive tests and documentation. Apply broad, in-depth knowledge to develop and maintain large-scale multi-tenant services in the cloud. Actively use Generative AI tools and coding agents in day-to-day workflows to improve code quality and accelerate delivery. Collaborate across teams on industry standards and best practices to help others solve complex problems. Design future-ready solutions and address architectural gaps using modern microservices and cloud-native patterns. Own production health for your services, contributing to on-call rotations, incident response, and post-incident reviews in a "you build it, you run it" environment. Identify, analyse, and resolve system availability, reliability, and performance issues, contributing to observability and resiliency improvements. Partner with Product Management and Design to translate business requirements into scalable technical solutions. Bachelor's degree in Computer Science or related field, or equivalent experience. 5+ years building reliable, performant applications and microservices. Strong proficiency in TypeScript and Node.js. Ruby experience is a plus. Proven full-stack experience across frontend (React.js), backend, and database layers. Technical depth in at least one specialisation: networking, security, serverless, event streams, or similar. Strong AWS experience, including compute, storage, networking, and monitoring. Excitement to build beautiful, intuitive products with a strong customer focus. Innate curiosity and a desire to learn and teach. Experience building and maintaining integrations with HRIS platforms such as Workday, SAP SuccessFactors, Dayforce, or similar enterprise HR systems. Experience with Kubernetes, Docker, and Helm. Experience with Datadog or similar observability and monitoring platforms. Demonstrated use of Generative AI tools or coding agents in development workflows. Experience in enterprise SaaS organisations, particularly HR Tech or regulated domains. Familiarity with ML/AI integration in production systems. Open-source contributions or a history of side projects. Why Firstup? Because you care - about people, the work you do, and the connections you make. Work is such a large part of life; it only makes sense to make it awesome. If you want to engage brilliant minds in a high-growth and inclusive environment where ideas are rewarded regardless of who they come from, join us. This is a rapidly changing space so if you thrive on ambiguity, are hungry for a challenge, and have the guts to speak your mind, you could be a perfect fit. We offer an excellent PTO program, great health benefits, a casual and friendly environment, remote work, and a leadership team who truly believes in your growth – both personally and professionally. Firstup is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state or local laws. #LI-TM1#LI-RemoteWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Senior Cloud Engineer (AWS) Outside IR35 Contract Location: Remote/ occasional travel to London Duration: Initial 3 month contract (likely extension) Rate: Competitive (DOE) We are currently looking for a Senior Cloud Engineer (AWS), available at short notice to join one of our well established global clients. What makes this an exciting opportunity for a contractor not only is this outside of IR35, this particular area of the business is at the beginning part of the journey to the cloud and are retiring the on prem workflow and re-platforming to the cloud. This is a high profile challenge with in the organization and is a highly rewarding opportunity that us being built from the ground up with end to end visibility. We are seeking an experienced Senior Cloud Engineer who is a subject matter expert in AWS, with some experience/broadcast background and though this is Engineer role where you will be expected to be hands on we are looking those individuals with architecture capabilities. Responsibilities of the Senior Cloud Engineer (AWS): Design, implement, and maintain audio broadcast cloud infrastructure in AWS, focusing on scalability, reliability, and CI/CD automation. • Collaborate with cross-functional teams to define cloud architecture, optimize workflows, and ensure governance alignment., • Apply expert knowledge of AWS, containerized environments (e.g. Docker), and IaC tools like Terraform and Ansible for infrastructure performance and cost efficiency., • Implement best practices in DevOps and DevSecOps, including observability, security, networking, API integration, and disaster recovery., • Mentor junior engineers and contribute technical leadership, ideally with experience in broadcast workflows, audio/video streaming, and Agile methodologies. Key Requirements: Extensive proven experience of AWS Cloud and knowledge of other cloud platforms such as Azure and GCP. • Proven experience in a containerized environments (docker etc.. ) and associated tooling such as Gitlab etc., • Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Python, Bash)., • Background in Broadcasting/Media/Radio or Video is essential. Extensive proven experience of AWS Cloud and knowledge of other cloud platforms such as Azure and GCP Interviews are being arranged for across this week so If this sounds like you and is of interest then to get in touch right away by sending your CV and one of our team will be in touch with you should to discuss further should your application be considered.

Location: Remote (United Kingdom) Salary: £55,000–£70,000 DOE, with room to grow as the company grows Contract: Full-time, 40 hours per week Reports to: Engineering Leadership You must already have the right to work in the UK, as we're unable to sponsor visas for this role. About the Role We're looking for a Senior DevOps & Platform Engineer to join our engineering team and take technical ownership of our cloud platform, infrastructure and operational tooling. You'll work alongside our software engineers to build, maintain and improve the AWS and Kubernetes platform that powers OpsPilot, while continuing to evolve our CI/CD pipelines, observability platform, security controls and compliance processes. This is a hands-on engineering role. You'll combine platform engineering, infrastructure automation and software development, helping to create a reliable, secure and scalable platform that enables the whole engineering team to deliver software with confidence. You'll be trusted to shape technical standards, improve developer experience through automation, and ensure our platform continues to support both our engineers and our customers. Ideas carry the same weight here regardless of who they come from or how long they've been with the company. You'll be judged on the strength of your thinking, collaboration and engineering decisions rather than your title. Success in this role will be measured by the reliability, security and maintainability of our platform, the quality of the engineering practices you help establish, and your ability to work collaboratively across the team. About OpsPilot OpsPilot is an AI-powered observability and operational intelligence platform, helping engineering and operations teams detect, understand and resolve production issues faster while increasingly automating operational workflows. As a team, we build and operate the same kind of platform we sell. The operational challenges we solve internally often become the next capabilities we deliver to customers, giving every engineer the opportunity to directly influence the product. Key Responsibilities Platform Engineering • Own and maintain our AWS and Kubernetes platform., • Develop and maintain infrastructure using OpenTofu / Terraform., • Improve our CI/CD pipelines and deployment automation., • Maintain and evolve our observability platform., • Define and maintain engineering standards for infrastructure, deployments and platform operations., • Monitor cloud costs and identify opportunities for optimisation. Engineering Collaboration • Work closely with software engineers to improve platform capabilities and developer experience., • Build tooling and automation that improves developer experience and engineering productivity., • Share knowledge and provide guidance on infrastructure, cloud technologies and operational best practices., • Help establish practical engineering standards that support reliable software delivery. Security & Compliance • Own and maintain our SOC 2 compliance programme., • Improve security controls and engineering best practices., • Work with the wider engineering team to ensure compliance activities become part of normal engineering workflows. Product Engineering • Contribute to technical design and architecture., • Develop internal platform capabilities and customer-facing features for OpsPilot., • Use AI-assisted development and automation where it improves engineering outcomes. Skills & Experience Essential • Around 4+ years' relevant experience in DevOps, Platform Engineering, SRE, Cloud Infrastructure or a closely related role. We're far more interested in your approach and trajectory than a long CV, so don't be put off if you're towards the lower end of that range., • A track record of helping development teams adopt new practices or ways of working. This matters more to us than any individual technology and is something we'll explore as much in the interview as on your CV., • Able to influence engineering practices through collaboration, technical leadership and strong communication rather than formal authority., • Strong experience with AWS and Kubernetes in production., • Experience with Infrastructure as Code (IaC) principles and practices., • Experience developing production software, not just operating it., • CI/CD and infrastructure automation., • Experience working within production SaaS environments. Desirable • Experience with OpenTofu or Terraform., • Experience with SOC 2 or ISO 27001, ideally including coordinating or running audits., • Experience with the Grafana LGTM stack or similar observability platforms., • Experience working with multi-tenant SaaS platforms., • AI-assisted development or prompt engineering. More important than any individual technology is how you approach engineering. We're looking for someone who enjoys solving problems properly, improving systems rather than simply maintaining them, and leaving both the platform and the engineering team in a better place than they found them. If that sounds like you, we'd encourage you to apply even if you don't meet every technical requirement. Our Tech Stack Cloud & Platform: AWS, Kubernetes (EKS), Docker Infrastructure & CI/CD: OpenTofu, Terraform, GitHub, GitLab Observability: OpenTelemetry, Grafana, Loki, Tempo, Mimir Development: Go, Python, Next.js AI Tooling: Claude, Gemini, used day to day throughout our engineering workflows. What We Offer • Fully remote within the UK., • Flexible working hours., • A small engineering team of six to eight developers where you'll have genuine ownership and influence., • A modern cloud-native technology stack., • AI integrated into day-to-day engineering workflows., • Minimal bureaucracy and a flat engineering structure. Our Interview Process Our interview process is straightforward, usually consisting of two or three conversations with no technical coding tests. We're far more interested in how you think, communicate and approach engineering problems than how quickly you can complete an artificial coding exercise. If this sounds like the kind of challenge you're looking for, we'd love to hear from you.

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.

Are you a highly skilled Senior Backend Engineer with a passion for Data and Machine Learning, ready to make a global impact? Join Spotify's Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we in the Pay-In domain own the critical backend services and extensive datasets that power the users’ payment journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. • Architect, design, and implement highly scalable backend services (Java/Python) and robust data pipelines that power Spotify’s internal Commerce platform., • Develop and enhance our ML-powered systems taking solutions from concept to production., • Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services., • Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions., • Mentor other engineers and foster a culture of continuous learning and technical excellence within the team., • You have significant experience building and scaling backend services (Java and/or Python) in a large-scale, cloud-native environment like Google Cloud Platform., • You have hands-on experience with Machine Learning, including developing, deploying, or maintaining ML models in a production environment., • You have proven experience building and maintaining data pipelines to support ML and analytics use cases., • You possess practical knowledge of scalable database technologies, such as PostgreSQL., • You are a proactive, self-driven engineer with excellent problem-solving skills and a pragmatic approach to tackling challenges., • You are an exceptional communicator and collaborator, comfortable leading technical discussions and working effectively with diverse teams., • Previous experience in e-commerce, financial engineering, or high-volume transaction processing is a plus., • 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.

DevOps Engineer • AWS, Windows Server, Jenkins, Microservices, • Salary circa £75,000 plus benefits, • 2 Days per week in the Southampton office plus on call shift once every three weeks DevOps Engineer required to join a leading international Software Business committed to delivering high-performance IT solutions. This is a large operation and will be working within the integrated part of the software engineering team with specific focus on facilitating and building automated pipelines for continuous delivery of the team's deliverables. As a DevOps Engineer you will maintain and contribute to the ongoing reliability, performance and support of the cloud services and infrastructure. This includes monitoring the operating environments, responding to incidents, problems and helping other teams as necessary. These roles have been created by team expansion and new client wins. Key Responsibilities: • Defining and developing continuous integration and deployment pipelines, • Building Infrastructure as Code, • Coordinating build and release activities with other stakeholders, • Manage day to day operations of release pipelines, build tools and source control software, • Troubleshooting and responding to downtime, performance degradation and outside attacks, • Perform ongoing maintenance and upgrades of DevOps systems, • Identifying, researching and prototyping new technologies to improve DevOps processes Skills Required: • AWS (at least 5 years experience), • Windows Admin, • Jenkins, • Github / Bitbucket, • Experience writing scripting languages such as Python, Perl, Powershell If you have the relevant skills for this role and are ready for the challenge, then please send your CV to Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

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

Grafana Labs 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 Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at _. About the Role We’re looking for a Senior Software Engineer who cares deeply about building high-quality products - not just testing them after the fact. In this role, you’ll help shape how quality is engineered into our products from day one, working across software development, automation, and modern testing practices. This role includes a blend of hands-on testing and automation. You’ll design systems, build tooling, and dive into manual testing where it adds the most value - all while helping the team deliver reliable software at scale. We’re exploring how AI can meaningfully improve quality engineering beyond code assistants, and you’ll have the opportunity to shape that journey in a practical, grounded way. This is an area we’re actively evolving, not a fully mature capability today. If you enjoy solving real engineering problems, improving how teams build software, and taking a pragmatic approach to quality, this role will give you the space to do it. Engineering Quality into the Product • Partner with engineers, product managers, and designers to build quality into features from the start - not bolt it on at the end., • Contribute directly to product code where it improves reliability, testability, and observability., • Help shape system design decisions to reduce defects before they happen. Building Scalable Test & Automation Systems • Design and implement robust, maintainable automation across API, integration, and UI layers., • Evolve our testing approach using modern engineering practices - focusing on fast feedback, meaningful and reliable results, and developer productivity., • Improve CI/CD pipelines so quality checks are fast, reliable, and genuinely useful (not just gates). Exploring AI-Driven Engineering • Experiment with AI to improve how we test and validate software - from intelligent test generation, smarter failure analysis and self-healing approaches., • Build or integrate tools that reduce manual effort and increase confidence in releases. Raising the Bar for Engineering • Help establish a strong, pragmatic quality culture that developers actually value., • Ensure quality is a shared responsibility across the team, not owned by a single individual., • Share ideas, mentor others, and contribute to how we continuously improve as a team., • Influence engineering practices beyond your immediate team., • Strong software engineering experience (JavaScript, TypeScript, or similar)., • A track record of building or improving automated testing in real-world systems., • Experience working in modern development environments with CI/CD and cloud platforms., • A practical mindset: you care about outcomes, not just frameworks or theory., • Hands-on experience applying AI within quality engineering or testing contexts - for example, test generation, failure analysis, test optimisation, or similar., • Ability to go beyond basic coding assistants and use AI to solve real testing or quality problems in innovative ways., • Experience working on security or high-reliability systems., • Exposure to performance or security testing., • Contributions to engineering communities, blogs, or open source., • Engineers move faster with more confidence because quality is built into their workflow., • Testing provides fast, meaningful feedback - not noise., • AI-driven approaches reduce manual effort and uncover issues earlier., • The team sees quality as an enabler, not a bottleneck., • You’ll be treated as a software engineer first, not a gatekeeper., • You’ll have room to experiment with new ideas, including AI, and turn them into real impact., • You’ll influence how software is built - not just how it’s tested. Ready to Join Us? At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos? · Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. · Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit · Employee-led diversity and inclusion networks that build community and provide education and advocacy · Annual charity and fundraising initiatives and volunteer days for employees to support local communities · Global employee sustainability initiatives to reduce our environmental footprint · Global fitness and trivia competitions to keep our bodies and minds sharp · Global wellbeing days for employees to relax and recharge · Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.