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Title: Multi Skilled Engineer (Electrical Bias Preferred)Location: ScunthorpeSalary: £45,000, soon to be increasedIndustry: FMCGJob Type: Permanent, Full TimeShift: 4 on, 4 off (4 Days / 4 Nights)Multiple Roles Available!Benefits:Competitive salaryCompany pension schemeCareer progression within an established manufacturing businessFree on-site parkingStable 4 on, 4 off shift pattern offering excellent work-life balanceKey Multi-Skilled Engineer Responsibilities:Carry out planned preventative maintenance (PPM) and reactive maintenance across production and site equipment.Diagnose and repair electrical and mechanical faults to minimise production downtime.Ensure all maintenance activities are completed safely and in accordance with company Health & Safety procedures.Support continuous improvement initiatives to enhance equipment reliability, efficiency, and production performance.Assist with machinery installations, upgrades, and improvement projects as required.Conduct root cause analysis on equipment failures and implement permanent corrective actions.Complete maintenance records accurately using the site's maintenance management system.Ensure compliance with food safety, hygiene, and quality standards at all times.Participate in the shift rota, including working Bank Holidays as required within the food manufacturing operation.Multi-Skilled Engineer Requirements:Essential:Strong electrical and mechanical fault-finding abilities (electrical bias preferred).Experience in Electrical and Mechanical Engineering.Minimum of 3 years' engineering experience within the food manufacturing or FMCG.Strong understanding of preventative and reactive maintenance techniques.Good project management skills with a detailed knowledge of Health & Safety legislation.Desired:Recognised Engineering Apprenticeship.HNC or equivalent qualification in Electrical, Mechanical Engineering, or Building Services.TPBN1_UKTJ

Reliability Engineer \n £45,000 + Bonus + Company Vehicle/Car Allowance \n Scunthorpe (UK Travel Required) \n MC Technical Recruitment is currently looking to recruit a Reliability Engineer on behalf of a leading Anaerobic Digestion and Renewable Energy business. \n This is an exciting opportunity for an experienced mechanical engineer with a background in reliability, condition monitoring or predictive maintenan... \n\n \n \n ZIPC1_UKTJ \n

Maintenance Engineer \n Scunthorpe \n Competitive Salary \n My client is looking to recruit an experiencedMaintenance Engineerto join their Engineering team at their Scunthorpe waste and recycling facility rotating shift pattern to include alternate Saturday mornings. \n This is a hands-on role supporting the reliability, safety, and performance of both fixed and mobile plant within a fast-paced, industrial env... \n \n ZIPC1_UKTJ

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.

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.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Software Engineer – Identity and Access, Identity Squads This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden. The Opportunity: Every day, millions of users rely on Grafana to monitor the health and performance of their critical systems, from software applications to factories and even space shuttles. Our mission is two-fold: to provide a seamless and effortless sign-in experience for all users, and to ensure administrators have complete peace of mind, knowing that every user has secure access to precisely the data and functionality they need. The Identity and Access team at Grafana manages all aspects of authentication and authorization, working across both our open-source and proprietary codebases. The Identity squad, within the team, owns the authentication layer — the protocols and flows that determine how every Grafana user proves who they are. We actively implement cutting-edge authentication protocols such as MCP OAuth (OAuth 2.1), OIDC, SAML, LDAP, and SCIM, rather than relying on off-the-shelf components. We are completely redesigning Grafana’s authentication at the edge — a rare opportunity to shape the technical direction of authentication infrastructure at scale, with a direct impact on millions of users every day. Our code paths sit in the critical hot paths across Grafana’s services, making every millisecond of performance essential. As a Staff Engineer, you will be central to defining how we evolve these systems. What You’ll Be Doing: As a Staff Engineer on the Identity squad, you will set the technical direction for our authentication systems and lead the most complex initiatives from conception through delivery. You will collaborate closely with engineering leadership, product management, and cross-functional partners to define how Grafana authenticates millions of users every day. • Approximately 55% of your time will be dedicated to backend development (Golang), 25% to technical leadership and cross-team collaboration, and 20% to operations and reliability., • Define and own the technical architecture for the Identity squad’s authentication systems, including our edge authentication redesign., • Lead the design and implementation of large-scale, multi-quarter initiatives in the critical path of user interaction, spanning multiple services and teams., • Mentor and develop senior engineers, providing technical guidance, design feedback, and support for their professional growth., • Serve as a technical authority for identity protocols at Grafana, driving alignment on how we implement and evolve OAuth, OIDC, SAML, LDAP, and SCIM across the organization., • Drive cross-team technical alignment on authentication standards, patterns, and best practices across Grafana’s engineering organization., • Represent Grafana Labs at meetups and conferences, and contribute to the broader identity and authentication community. As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and strong communication skills are essential. What Makes You a Great Fit: • Deep, proven expertise in distributed systems engineering with Go, with a track record of owning and delivering large-scale production systems end-to-end., • Demonstrated ability to define technical direction and drive architectural decisions independently, with impact that extends beyond your immediate team., • Extensive experience building and operating low-latency, high-throughput services in distributed, multi-tenant environments., • Proven track record of leading and delivering complex, multi-quarter initiatives that span multiple teams or systems., • Ability to mentor and develop senior engineers, elevating the technical quality and capabilities of those around you., • Strong understanding of SLOs, SLIs, error budgets, and how to design systems that balance reliability, security, and product velocity., • Excellent written and verbal communication skills in English; able to clearly convey complex technical decisions to diverse audiences, including engineering leadership and non-technical stakeholders., • Expert-level understanding of modern identity standards and threat models (OAuth 2.x / 2.1, OIDC, SAML), and how to implement them securely at scale. Bonus Points For: • Familiarity with Kubernetes., • TypeScript/React experience., • Experience working with OpenFGA and KiFederate IDP., • Experience working in security critical environments., • Experience contributing to or maintaining Open Source projects., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry). Compensation & Rewards: In the UK, the Base compensation range for this role is £100,000 - £124,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Software Engineer, Consensus - Anza Anza is a Solana R&D lab pushing the boundaries of blockchain performance and scalability. Anza was founded by experienced executives and core engineers solving the toughest problems in Web3. Crypto ecosystems rely on robust protocols, and we believe those are best built out in the open, with multiple contributors. We pioneer advanced solutions to meet the evolving demands of decentralized applications. As a Software Engineer specializing in consensus, you will play a critical role in fortifying Anza's Agave client and the broader Solana network. Your work will directly improve the efficiency and reliability of our blockchain infrastructure, ensuring robust, timely consensus mechanisms. You will focus on optimizing the processes that underpin the agreement on block validity and order, ensuring they are secure, performant, and scalable to support future growth. • Develop and Optimize Consensus Mechanisms: Design, implement, and optimize the mechanisms for consensus to enhance the throughput and stability of the Solana network., • Efficient Coordination: Develop and refine algorithms to ensure fair and efficient agreement on block production among validators., • Ensure Security and Integrity: Identify and mitigate potential security vulnerabilities within the consensus mechanisms, ensuring robust protection against emerging threats., • Scalability and Performance: Work on improving the scalability of the consensus system to handle increasing transaction volumes and validator participation without compromising on performance., • Testing and Validation: Create and execute comprehensive tests to validate the reliability and efficiency of the consensus mechanisms, including stress tests, fault injection, and performance benchmarking., • Collaboration: Collaborate with cross-functional teams, including core protocol engineers, security experts, and infrastructure teams, to ensure the seamless integration and functioning of the consensus components., • Documentation and Code Review: Maintain thorough documentation of the consensus protocols and conduct peer code reviews to uphold high standards of code quality and consistency., • Experience: A Bachelor's degree in Computer Science, Engineering, or equivalent practical experience and 3+ years of hands-on experience with core infrastructure software and distributed systems., • Technical Expertise: Strong proficiency in systems programming languages such as Rust or C++. Experience with consensus algorithms, distributed systems, and blockchain technology is highly desirable., • Problem-Solving Skills: Ability to analyze complex systems, identify potential issues, and develop effective, flexible solutions., • Security Mindset: Knowledge of common security threats and best practices in securing consensus processes., • Growth Mindset: Actively consuming research papers, designing, and investigating new solutions., • Performance Optimization: Experience with performance profiling and optimization techniques., • Collaboration and Communication: Excellent teamwork and communication skills, with the ability to work effectively in a collaborative environment., • Familiarity with Linux, systems automation tools, and systems architecture., • Understanding of networking, architecture, and principles underlying distributed systems., • A knack for designing secure protocols, software, and algorithms that minimize trust requirements., • Self-driven, research oriented, and the ability to learn independently., • Active participation in Bitcoin/Ethereum/Blockchain projects or the open-source community is highly desirable. We offer a dynamic, fast-paced environment where innovation and problem-solving are at the heart of everything we do. Here, your work will have a direct impact on the security and scalability of blockchain technology, contributing to the foundation of decentralized applications worldwide. We're excited to welcome individuals who share our passion for pushing the boundaries of blockchain technology. If you're ready to take on the challenge and contribute to the next generation of blockchain infrastructure, we'd love to hear from you. The salary range for US-based candidates will be determined throughout the interview process depending on experience, skill, and location. Candidates should anticipate an annual base salary (not including incentive compensation or other benefits) of $180,000 USD to $300,000 USD.

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 .

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.

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

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.

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

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. We are looking for a Staff Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions. The SRE team is embedded within the Mimir, Loki, and Tempo squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. In this role, you will: • Partner closely with product engineering squads (embedded model), • Own production reliability for high-SLA and complex customer environments, • Design and implement automation to scale our reliability practices, • Ensuring our customers meet our SLO targets, • Define and evolve per-tenant SLOs and reliability models, • Proactively reduce SLO burn to prevent repeat incidents, • Serving as a primary escalation point and on-call for relevant incidents, • Lead customer-impacting incident response and post-incident reviews, • Contribute to design docs and code reviews, • Influence feature design to ensure production scalability and operability, • Build automation to eliminate toil where needed, • Improve alert quality and reduce noisy escalations We seek a staff software engineer operating at the intersection of customer needs, production systems, and product engineering. • 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Strong experience with technical leadership, leading a team through projects, mentoring other engineers on the team and serving as a force-multiplier, • Experience operating multi-tenant systems in production, • Strong experience designing and implementing SLOs, • Experience with one or more programming languages (e.g. Go, Python, Java, etc), • Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling., • Excellent problem-solving and troubleshooting skills., • Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents), • Ability to reason about performance, scaling, and failure modes, • Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction., • Ability to partner deeply with product engineering teams, • We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!), • Regular 1:1s to with your manager and colleagues, • Reviewing and creating SLOs, proactively investigating ways in which we can further reduce budget burn for those SLOs, which can be self-directed or as the result of learnings from incidents, and may include improvements to monitoring, automation, increasing self-healing, auto-scaling, etc., • Improve observability of customers within their environments, • Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands, • Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle., • Collaborating with our Engineering Leaders to help define and influence product strategy, roadmaps and technical designs, • Participate in PR review and collaborating with other engineers on their Design Docs, • Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality, • Participate in Incident Response when applicable, including investigation through to resolution, PIR, and communication with customers via Bridge calls where necessary In the UK, the Base compensation range for this role is £103,958 - £124,750. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _.#LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

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

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are considering candidates in Germany, Ireland, Sweden, Spain and the UK only. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business via general data analytics. Our goal is to make Grafana the single best place where humans and AI agents understand and act on data from across the enterprise. We build systems that help users make sense of their sea of data through AI-driven features in use cases like product analytics and sales data. These capabilities lower the barrier of domain expertise and surface meaningful signals from messy data. The 2H team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. As part of our skunkworks initiative, you'll wear multiple hats and won't rely on cross-functional teams that typically support other teams inside Grafana Labs engineering. You will design, develop, test, and ship AI-powered features that can manage dealing with large datasets, while also expanding the capabilities of analytics-focused AI agents to assist users with information retrieval. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You’ll Be Doing: • Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets., • Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for the data engineering lifecycle., • Collaborate: Work with the rest of the team to shape AI-driven product features, including the integration of agentic components with internal tools like Slack and alerting systems while engaging with internal data teams for dogfooding., • Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows., • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams., • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: • Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision., • AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory., • Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset., • Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined., • Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: • Experience with LLMs, context engineering, and building applications powered by GenAI., • Proven track record of delivering software that made it into production and is actively used by users., • Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)., • Experience using observability tools to understand and troubleshoot system behavior. Bonus Points For: • Experience building or working with agent frameworks or multi‑agent workflows., • Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks), • Experience building tools for data engineering. Compensation & Rewards: In the UK, the Base compensation range for this role is £100,000 - £124,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

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

ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, product expertise, and implementation, so we expect the scope to evolve and want someone excited to build as it does. You'll work directly with corporate and midmarket customers to drive adoption of their core use case and help identify new ones - but everything you build has to scale across a high-volume book, not custom to one account. You'll need to be genuinely technical, deep enough in the product to be the most knowledgeable person in the room, without ever writing code or owning an account directly. This is a builder role for someone extremely analytical who's already advanced with AI tools. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: Drive strong adoption by building and delivering scalable implementation and enablement processes that educate customers on best practices and get them to time-to-value quickly on their core use case Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're the product expert for enabling both basic and complex use cases, and you're constantly the first to learn new products coming to market Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Forward Deployed Engineering, GTM, Customer Experience, Product Marketing and Engineering) Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements 6+ years in implementation, solutions consulting/engineering, technical account management, or similar at a technical SaaS or AI-native company Experience with voice AI, TTS, conversational AI, or developer-facing products A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward Experience managing a high-volume book of business at scale, mid-market or commercial segment Fluency in English is essential, fluency in a 2nd European language (French, Spanish, German, Polish) is desirable Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: Growth Roles - Regional Adoption Lead Other teams: Account Management or Forward Deployed Engineering - Strategist or Solutions Engineer Location This role is remote-first, so it can be executed from anywhere in Europe. If you prefer, you can work from our offices in London, Dublin or Paris. #LI-Remote

Hi, we’re Smoove, part of the PEXA Group.Our vision is to simplify and revolutionise the home moving and ownership experience for everyone. We are on a mission to deliver products and services that remove the pain, frustration, uncertainty, friction and stress that the current process creates. We are a leading provider of tech in the property sector - founded in 2003, our product focus has been our conveyancer two-sided marketplace, connecting consumers with a range of quality conveyancers to choose from at competitive prices via our easy-to-use tech platform. We are now building out our ecosystem so consumers can benefit from our services either via their Estate Agent or their Mortgage Broker, through smarter conveyancing platforms, making the home buying or selling process easier, quicker, safer and more transparent Why join Smoove?Great question! We pride ourselves on attracting, developing and retaining a diverse range of people in an equally diverse range of roles and specialisms – who together achieve outstanding results. Our transparent approach and open-door policy make Smoove a great place to work and as our business expands, we are looking for ambitious, talented people to join us. We are looking for a technically proficient Senior Data Engineer to join our growing Data team. Your primary focus will be on ensuring data quality, stability, and reliability — from the moment data arrives in its rawest form to when it is used in decision-making dashboards and customer-facing reports. You will optimise the transformation pipeline from start to finish, guaranteeing that datasets are robust, tested, secure, and business-ready.Our data platform is built using Databricks, with data pipelines written in PySpark and orchestrated using Airflow. You will be expected to challenge and improve current transformations, ensuring they meet our performance, scalability, and data governance needs. This includes work with complex, nested data structures, ensuring they are reliably parsed and transformed. Experience in managing sensitive data (PII) and implementing GDPR policies is required. You’ll work closely with analysts, engineers, and business stakeholders to ensure that datasets are not only accurate but also trusted. You will collaborate with product and engineering teams to incorporate data from new products into our core business datasets, ensuring that these new sources meet our data standards and are quickly usable for business intelligence. You’ll help put controls in place — such as access policies, metadata layers, and automated data quality checks — to ensure long-term stability. Experience with a data governance platform like Alation is desirable. While predominantly remote / home based the team meet up to 20-25 days per year for meaningful collaboration in either Leeds or Thame. • Ensure end-to-end data quality, from raw ingested data to business-ready datasets, • Optimise PySpark-based data transformation logic for performance and reliability, • Build scalable and maintainable pipelines in Databricks and Airflow, • Implement and uphold GDPR-compliant processes around PII data, • Collaborate with stakeholders to define what "business-ready" means, and confidently sign off datasets as fit for consumption, • Put testing strategies in place to detect data issues early and often, • Contribute to access management, metadata management, and wider data governance practices, • Help shape our approach to reliable data delivery for internal and external customers, • Extensive hands-on experience with PySpark, including performance optimisation, • Deep working knowledge of Databricks (development, architecture, and operations), • Proven experience working with Airflow for orchestration, • Proven track record in managing and securing PII data, with GDPR compliance in mind, • Experience in data governance processes; Alation experience preferred, but similar toolswelcome, • Strong SQL skills and experience optimising complex queries, • Strong experience in handling and transforming semi-structured data, • High competency in programming, with a focus on clean, efficient, and production-quality code, • Demonstrated ability to work with stakeholders to understand data needs and guide the validation and delivery process, • Experience implementing and maintaining data quality tests and monitoring solutions, • Strong verbal and written communication skills, • Ability to think holistically about data reliability and how it serves business decisions £65,000 - £75,000 a yearSound like you? We at Smoove are ready so if this role sounds like you, apply today. GDPR Compliance Digital Completion UK Limited (trading name “PEXA”), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, United Home Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN 140 677 792; ASX: PXA) (referred to collectively as “PEXA Group”). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice_.

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

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.

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

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

Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing and enables organisations to enforce sanctions at scale to help combat rogue entities and state actors. We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time. Team mission: Our team enables the delivery of high-quality software to a variety of environments through technical skills, process implementation and software management, anchored in a continuous innovation culture. What you’ll be doing: As a DevOps Engineer at Ripjar you will be responsible for ensuring the reliability and security of the infrastructure that underpins our development and operational services. You will play an active role in supporting and continuously improving our core infrastructure offering, providing a solid foundation upon which we can deliver cutting-edge solutions to our customers. Key tasks: • Automate the deployment, operation and maintenance of systems in a hybrid cloud environment using Infrastructure as Code and Configuration Management tooling., • Administer systems and applications hosted on Linux-based systems., • Design, deploy and maintain IP networks., • Create robust automated solutions to allow development teams to self-serve routine infrastructure requests., • Improve code security by integrating security testing tools into build and deployment pipelines., • Implement effective monitoring of the reliability and security of applications and infrastructure services. The successful candidate should have these skills: We recognise that demonstrable skills in all these technologies is not easy to find. Don’t let that stop you from applying! We can work in partnership to identify your strengths and provide you with the training necessary to fill any gaps. • Strong experience of administering and securing Linux hosts on both virtual and physical infrastructure., • Extensive experience using Infrastructure as Code and Configuration Management tooling, e.g. Ansible, Terraform, Helm., • Experience of configuring, managing and securing public cloud infrastructure, e.g. AWS, Azure., • Experience of administering containerised applications using Kubernetes and Docker., • Experience of administering IP networking in a corporate environment., • Experience of automating tasks using languages and tools such as Bash, Python, JavaScript, and GitHub Actions., • Knowledge of how to effectively use security testing and monitoring tooling, e.g. SAST and SIEM products., • Knowledge of how to configure monitoring tooling for application and infrastructure metrics, e.g. Prometheus, Datadog, Open Telemetry Candidates with the following background will be of particular interest: • Experience contributing to incident response across a complex microservice-based application, • Application Security best practice including identifying potential threats and vulnerabilities in applications and cloud infrastructure, designing secure software systems, and implementing robust security measures Why we think you’ll enjoy it here: • Competitive base salary per year DOE, • Fully remote working, • 25 days annual leave + your birthday off, rising to 30 days after 5 years of service, • 35 hour working week, • Flexible working hours, • Life assurance, • Company Share Scheme, • Private Family Healthcare, • Employee Assistance Programme, • Company contributions to your pension, • Enhanced maternity/paternity pay, • The latest tech including a top of the range MacBook Pro, • Offices equipped with well-stocked pantries with food, snacks and drinks when in the office

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As a Backend Software Engineer, you will be responsible for designing, building, and maintaining the server-side components of our applications. You will collaborate closely with product managers, frontend developers, and other cross-functional teams to deliver robust and scalable backend services that power critical features and support rapid growth. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. API & Service Architecture - Design and build RESTful or GraphQL APIs, microservices, and business logic using Node.js and TypeScript. Database Design & Integration - Model data and manage queries using Supabase and PostgreSQL, including functions, row-level security, and real-time features. Cloud Infrastructure - Deploy and manage services on Google Cloud Platform (GCP), particularly with Cloud Run, Cloud Functions, IAM, and Pub/Sub. Code Quality & Testing - Write clean, testable code using unit, integration, and end-to-end testing frameworks (e.g., Jest). Contribute to code reviews and quality assurance practices. Security & Reliability - Implement secure-by-default solutions for authentication, authorization, and data protection, following Clean Code and Clean Architecture principles. Monitoring & Operations - Set up logging, monitoring, and alerting for backend services. Own incident response and uptime improvements. Team Collaboration - Participate in architecture discussions, mentor team members, and document your decisions and systems for internal knowledge sharing. 5+ years in backend engineering roles; Proficiency in Node.js and TypeScript; Strong experience with Supabase or equivalent PostgreSQL-based backend services; Hands-on experience with cloud platforms (e.g., GCP, AWS, Azure), including deploying and managing services using serverless compute (e.g., Cloud Run, AWS Lambda, Azure Functions); Solid knowledge of Clean Code and Clean Architecture practices; Experience with API design (REST) and cloud-native application development; Familiarity with CI/CD pipelines, testing tools, and Git workflows; Strong grasp of security principles, data protection, and compliance best practices; Effective communicator and proactive team contributor; Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

We are seeking a Senior SRE with experience of working with scaled SaaS production infrastructure. The successful candidate will work as part of a team focused on site reliability, security, and scalability, as we manage our rapid growth. The ideal candidate will be a proactive and driven individual, who excels at understanding and working on complex technical solutions requiring performance and optimisation at scale. Our core technologies include PHP, MySQL, Vue.js and AWS. Participating in an on-call roster is required as part of this role. #LI-Remote • Act as a senior member of the SRE team, supporting activities including the backlog and workload of the team, scoping requirements, peer review of code, providing feedback to the rest of the team., • Represent the team in management and stakeholder meetings. Ensure best practices are kept, and suggest improvements to our development processes where you see gaps., • Investigate, test, and resolve technical problems, working closely with other engineers to deliver core product functionality., • Defining SLOs, SLIs, and SLAs for key metrics that indicate the health, security, stability and uptime of production, staging and development environments, • Monitoring the above environments and reacting to alerts and issues that may arise in day-to-day operation of their product line., • Participate in an on-call rota for priority-1 level alarms with the rest of the Platform teams, • Ongoing upgrades and improvements to operational processes to optimise performance, stability and cost., • Working with the platform engineering team to contribute to the planning of how we carry application/infrastructure releases and configuration changes., • Interact with internal teams and external 3rd party vendors to troubleshoot and resolve complex problems, • 5+ years experience in an engineering role responsible for supporting a scaled SaaS platform running on Linux in a cloud environment, • Experience working with high-performance systems, and solving complex engineering problems at scale (our platform processes ~100 Billion messages per year), • Understanding of distributed systems design – including asynchronous tasks, event driven architecture, scheduling, caching and queue processing, • Ability to apply distributed systems design knowledge to resolve scaling constraints. The capability to carry out performance tuning from the API to Application to Database layer of the platform., • Strong communication skills and ability to explain complex technical solutions simply to others, • Strong understanding of PHP, GoLang, MySQL, Opentelemetry, Prometheus, • Experience with Cloud and DevOps technologies (AWS, Terraform, CI/CD etc.), • Experience with specific technologies in our stack: Clickhouse, Kafka, Pulsar, Python, • Experience with networking and security concepts, • Interest or experience with marketing technologies, • Interest or experience with big data, data analytics, AI and machine learningIreland (Dublin) or UK (London or Milton Keynes)

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.

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.

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.

BJAK is building AI-powered automation systems that simplify complex insurance workflows- from quotations and policy issuance to claims and customer support. To make this possible, we need intuitive, fast and scalable user experiences. We're looking for an experienced Frontend Engineer based in the United Kingdom to help build the next generation of AI-powered web applications used by both customers and internal teams. This is a fully remote role where you'll collaborate closely with our global engineering team while working with product and operations teams based in Malaysia. Build exceptional frontend experiences that make complex AI-powered workflows feel simple. You'll develop modern web applications that help customers purchase insurance more easily while enabling internal teams to operate faster through intelligent automation. Build modern web applications using React, Next.js, TypeScript and modern frontend technologies. Develop customer-facing products alongside internal AI-powered operational tools. Translate product and UX requirements into fast, responsive and intuitive interfaces. Integrate frontend applications with backend APIs and AI services. Improve application performance, scalability and reliability. Build reusable components and maintain a scalable frontend architecture. Participate in code reviews and contribute to engineering best practices. Collaborate closely with product managers, designers, backend engineers and QA throughout the development lifecycle. Help shape technical decisions and continuously improve our frontend stack. Bachelor's degree in Computer Science, Software Engineering or a related discipline, or equivalent industry experience. Proven experience building production-grade web applications. Strong experience with React and TypeScript. Experience with modern frameworks such as Next.js (or similar frameworks like Vue or Angular). Solid understanding of HTML5, CSS3 and responsive web development. Experience consuming REST APIs. Strong understanding of component-based architecture and frontend application design. Experience optimising frontend performance and debugging production applications. Familiarity with Git and modern software development workflows. Comfortable working within CI/CD environments. Strong problem-solving skills and attention to detail. Excellent communication skills and ability to work effectively in a distributed team. Comfortable working in a fast-moving, product-focused environment. Experience building AI products or AI-enabled user experiences. Experience with workflow automation or SaaS platforms. Experience with Next.js, Vite or modern frontend tooling. Familiarity with Node.js or Python. Experience with Playwright, Cypress, Jest or Vitest. Knowledge of authentication, authorisation and web security. Experience with Redux, Zustand or similar state management libraries. Contributions to open-source projects or active participation in developer communities. Think beyond simply implementing designs. Care deeply about user experience, performance and usability. Take ownership from idea through production. Write clean, maintainable and scalable code. Balance engineering quality with execution speed. Enjoy solving complex technical and product challenges. Want to build AI products with measurable business impact. Prefer highly structured environments with detailed specifications for every task. Focus only on writing code without understanding user problems. Avoid ownership beyond implementation. Are uncomfortable working in a fast-paced startup where priorities evolve quickly. You'll thrive if you can: Deliver fast, intuitive and reliable frontend experiences. Simplify complex workflows through thoughtful product design. Build scalable frontend architecture that supports rapid growth. Maintain high engineering standards while shipping quickly. Become a trusted technical partner across engineering, product and operations. Build AI Products – Work on cutting-edge AI and automation systems that solve real business problems. Global Engineering Team – Collaborate with experienced engineers and cross-functional teams across multiple countries. Fully Remote – Work remotely from UK while collaborating with our Malaysia-based teams. International Exposure – Gain experience building products used across Southeast Asia and work with globally distributed teams. Learning & Development Budget – Receive support for technical courses, certifications, conferences and continuous learning. Career Growth – Fast career progression with opportunities to take ownership of impactful projects. Innovative Challenges – Solve large-scale engineering problems in a high-growth technology company. Modern Engineering Culture – Code reviews, knowledge sharing, continuous improvement and engineering excellence. Competitive Compensation – Attractive salary package based on experience and performance. We assess culture, working style and frontend execution. The process usually includes application review, two interviews and a technical task or code review.

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 - 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.

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.

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

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.

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)

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.

Location: Remote Salary: £75,000 - £85,000 At Arbor, we’re on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn’t mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren’t just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. We are looking for an experienced and highly technical Senior Product Engineer to join our Engineering team and help us implement and deliver large projects and advocate for high engineering standards. The remit and focus of the role is to be a key driver in the team, taking responsibility for developing and owning features and core components of the company's core systems and processes, as well as auxiliary services where needed. It’s a broad and exciting role, so we’re looking for someone up for a challenge - if you’re a proactive and collaborative Senior Product Engineer, this is the role for you. Core responsibilities • Build, maintain and scale platform-level back-end services to enhance and serve our Data and AI capabilities for internal and external customers., • Leverage these Data and AI capabilities to build and ship new features within the core Arbor product suite., • Own the successful delivery of high-impact features, directly contributing to the advancement of Arbor products., • Drive the development and implementation of advanced tests for new and existing features, ensuring high test coverage and reliability standards., • Proactively identify, take ownership of, and resolve critical system bugs and issues using advanced problem-solving skills and comprehensive system knowledge., • Maintain high code quality standards through thorough, constructive code reviews, ensuring solutions are well-tested, scalable, and maintainable., • Produce well-architected, efficient, and scalable code by applying industry-leading design patterns and methodologies., • Create and maintain thorough technical documentation and diagrams that promote best practices and ensure clear communication., • Collaborate closely with the Engineering Manager, Tech Lead, QA Engineer, and Product Manager to address feature requests., • Support the Engineering Manager with interviews, scrum ceremonies, and the implementation of strategies to improve and optimise product quality and lead time, demonstrating a comprehensive understanding of the development lifecycle and processes., • Support the Tech Lead in developing technical roadmap solution designs, identifying areas for improvement, prioritising, and executing technical debt reduction., • Act as a role model for technical excellence through code reviews, pair programming, and actively mentoring and coaching mid-level and junior engineers in best practices, fostering knowledge transfer within the team., • Actively lead and participate in tech talks, workshops, and team-based learning initiatives., • Demonstrable experience building back-end Python-based services, • Previous experience building features in PHP, • Experience with enterprise solutions and large-scale systems., • Demonstrated knowledge of database technologies (SQL and NoSQL) and best practices for data modelling and performance optimisation., • Proven experience in managing large, technical projects and delivering high-quality, impactful results with minimal supervision., • Proven experience designing and writing APIs and services within a service-oriented environment., • Applies best practices and software engineering principles (e.g., SOLID, DRY) effectively., • Demonstrated knowledge of software best practices, including refactoring, writing clean code, and Test-Driven Development (TDD) and Test Automation., • Understands Scrum methodology or other agile development processes., • Demonstrates leadership through collaboration, mentorship, and a proactive approach to problem-solving., • Possesses excellent written and spoken English skills, with the ability to communicate clearly to both technical and non-technical stakeholders., • A driven team player who actively participates in discussions and readily offers assistance to others. The chance to work alongside a team of hard-working, passionate people in a role where you’ll see the impact of your work everyday. We also offer: • A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more!, • 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas, • Life Assurance paid out at 3x annual salary, • Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks, • Private Dental Insurance with Bupa, • Salary sacrifice Pension provided by Scottish Widows, • Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay, • 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life!, • Access to services such as Calm and Bippit (financial wellbeing coaching), • All of our roles champion flexible working and we are happy to discuss what this means to you, • Social committees that plan team, office and company wide events to bring people together and celebrate success, • Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc), • Volunteer with a charity of your choice for a day each year, • Dog friendly offices!, • Phone screen, • 1st stage, • 2nd stage We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at _. Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds. Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: _ Please note: We are unable to provide visa sponsorship at this time.

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

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.

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

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.

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.

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.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are looking for a Principal Software Engineer (Docker Agents) to join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You’ll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker’s container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) Integrate into our AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture, project roadmap, and the developer problems we’re solving Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities Contribute initial improvements to cagent and the containerized agent runtime foundations Lead significant platform features or architectural improvements to cagent and our containerized agent ecosystem Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience Mentor engineers through design reviews and help accelerate onboarding and execution Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces) Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

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

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.

As a Mimir Engineer you’ll join one of two sub-squads, Ingest or Query, that together maintain the open source. 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 ide

About Us Teleport is the Infrastructure Identity Company, modernizing identity, access, and policy for infrastructure, improving engineering velocity and resiliency of critical infrastructure against human factors and/or compromise. We are a fast-growing, well-funded Y-Combinator company. We value our craft, are strong supporters of work/life balance, and embrace a culture of humility, honesty, and transparency. About this job We're looking for a SRE that will work directly with customers to ensure successful Teleport deployments. You will meet regularly with customers, understand pain points blocking deployments and remove roadblocks. This includes writing and fixing IaC deployments (like Helm charts), developing workarounds, and writing Go code to fix bugs and implement small features. For more complex issues, you will work with customers to articulate the problem they are trying to solve, gather requirements, and make the business case to the product and engineering teams to invest in resolving the issue. • This job sits at the intersection of product, engineering, and revenue., • You won't just work closely with the engineering team, you will be on the engineering team., • The range of problem solving includes networking, performance, security and integrations with existing systems., • Most of the code you will write will be open source., • Our products are loved by their users, you'll get to meet them regularly., • Excellent communication skills., • Willing to travel to customer sites., • Infrastructure as Code (IaC) experience (like Terraform, Ansible, Helm)., • Linux systems engineering experience., • Go or Rust experience., • As we are a startup, you should be comfortable changing the area of focus and working directly with customers., • You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements., • You join a Slack channel and submit a _ using GitHub., • Extensive health coverage, • Annual expense budget, • Rest & recovery policies that maximize leave and your ability to recharge, • Investment in your future with retirement savings plans, • Equity in a US $_ business, • Professional development opportunities$180,800 - $311,000 a yearThe base salary range for new hires in this role is between $180,800 - $266,000 for a level 4 and $211,480 - $311,000 for a level 5. Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at _