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CNC Programmer \n Excellent opportunity for a time-served CNC Programmer with offline CAM, EdgeCam and/or HyperMill experience to support complex multi-axis machining in a precision manufacturing environment. \n If you’ve also worked in the following roles, we’d also like to hear from you: Offline NC Programmer, Offline CNC Programmer, NC Programmer, CAD CAM Programmer, CAM Programmer, CNC Programmer Machinist, Multi-Axis CNC Programmer, CNC Manufacturing Engineer, CNC Machinist Programmer \n \n SALARY: up to £55,000 per annum + Benefits \n LOCATION: Birkenhead, Merseyside, North West England \n JOB TYPE: Full-Time, Permanent \n WORKING HOURS: 8am – 4.30pm Monday to Thursday and 8am – 2pm Friday \n \n JOB OVERVIEW \n We have a fantastic new job opportunity for a CNC Programmer with strong offline CAM programming experience using EdgeCam and/or HyperMill. \n As the CNC Programmer you will generate, prove and optimise multi-axis CNC programs for complex precision components, working to tight tolerances, engineering drawings, 3D models and GD&T. \n The CNC Programmer will work closely with manufacturing, quality and engineering teams, supporting first-off requirements, program prove-out and continuous improvement within a technically skilled environment. \n \n APPLY TODAY \n Ready to make your next career move? Apply Now for our Recruitment Team to review. \n \n DUTIES \n Your duties as the CNC Programmer include: \n\n • Offline CNC Programming: Develop, prove and optimise CNC programs using EdgeCam and/or HyperMill CAM software for multi-axis machining operations\n, • Technical Interpretation: Interpret complex engineering drawings, 3D models and GD&T to produce accurate, efficient toolpaths\n, • Machining Strategy: Select suitable cutting tools, speeds, feeds and machining methods in line with material requirements and customer quality standards\n, • Simulation and Prove-Out: Carry out virtual simulation, collision checking and technical support during program prove-out and first-article inspection\n, • Team Collaboration: Work closely with machine shop, quality and engineering teams to ensure programs are fit for purpose and meet first-off requirements\n, • Program Control: Manage and maintain the NC program library, supporting revision control and document traceability in line with AS9100 requirements\n, • Continuous Improvement: Support improvements that reduce cycle times, improve surface finish and optimise tool life\n, • Compliance Standards: Ensure programming activity follows customer specifications, quality management systems and relevant aerospace standards\n\n \n CANDIDATE REQUIREMENTS \n ESSENTIAL \n\n • Time-served apprenticeship or equivalent formal trade qualification in CNC machining, mechanical engineering or a related discipline\n, • Proven hands-on experience as an Offline NC Programmer, ideally within an aerospace or high-precision manufacturing environment\n, • Competency using EdgeCam and/or HyperMill CAM software, with HyperMill preferred\n, • Strong understanding of multi-axis CNC machining, tooling selection and cutting parameters\n, • Ability to read and interpret complex engineering drawings and 3D models\n, • Solid understanding of GD&T\n, • Experience working to aerospace quality standards such as AS9100 or equivalent\n, • Strong problem-solving skills with a methodical, detail-focused approach\n, • Able to work effectively under pressure and to tight deadlines\n, • Able to complete satisfactory references and, where applicable, security clearance checks\n\n DESIRABLE \n\n • Experience programming for five-axis, turning, mill-turn or EDM operations\n, • Familiarity with post-processor configuration and editing, with a basic understanding of G-Code\n, • Knowledge of aerospace surface treatment processes such as cadmium plating, PVD coatings or anodising\n, • Experience with CMM programming or first-article inspection support\n, • Familiarity with PLM/PDM systems for model and program management\n, • HNC, HND or degree in Mechanical or Manufacturing Engineering\n, • CAM software certification in EdgeCam or HyperMill\n\n \n BENEFITS \n\n • Competitive salary commensurate with experience\n, • Opportunities for professional development and further training\n, • Exposure to complex, high-value aerospace programmes\n, • Supportive and technically skilled working environment\n\n \n HOW TO APPLY \n To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. CV’s of Job Applicants meeting this requirement will be submitted to our Client for consideration. By submitting your job application to us you are hereby giving us your express consent to submit your details to our Client for this purpose. \n JOB REF: AWDO-P14932 \n Full-Time, Permanent Engineering / Manufacturing Jobs, Careers and Vacancies. Find a new job and work in Birkenhead, Merseyside, North West England. Multi-Job Board Advertising and CV Sourcing Recruitment Services provided by AWD online. \n AWD online specialise in sourcing candidates and advertising vacancies on multiple job boards for companies on a non-commission basis. AWD online operates as an employment agency. \n AWD-IN-SPJ \n \n

Senior QA Automation Engineer\n We're partnered with a well-established insurance business with over 1,000 employees across the UK who are continuing to invest heavily in their technology and digital teams. As part of this growth, they're looking to hire a Senior QA Automation Engineer to join their collaborative engineering function based in Liverpool. \n This is a fantastic opportunity to play a key role in shaping automation practices within a mature engineering environment. You'll work closely with Software Engineers, Product Managers and fellow QA professionals to ensure high-quality software is delivered across a range of web and mobile applications, while helping to drive best practice across the testing function. The role\n As a Senior QA Automation Engineer, you'll be responsible for designing, developing and maintaining scalable automation frameworks, improving testing processes, and embedding quality throughout the software development lifecycle. You'll be expected to champion automation, mentor other members of the QA team, and contribute to the ongoing evolution of testing standards and tooling. \n Working within Agile delivery teams, you'll collaborate across engineering to ensure reliable, high-quality releases through robust automated testing and continuous integration. The role covers both web and mobile applications, giving you exposure to a broad range of technologies and projects. What they're looking for\n\n • Strong commercial experience building and maintaining automation frameworks using Playwright\n, • Experience designing and implementing API, web and mobile automation testing\n, • Strong knowledge of Azure DevOps, including CI/CD pipelines\n, • Experience with mobile automation testing, ideally using one or more of Maestro, BrowserStack, Microsoft Intune or TestFlight\n, • Experience working within Agile software development teams\n, • Strong understanding of test strategy, automation best practices and software quality principles\n, • Ability to mentor junior QA engineers and promote automation-first approaches\n, • Excellent communication and stakeholder management skills\nWhat's on offer\n\n, • £60,000-£70,000 base salary\n, • Hybrid working with 3 days per week in the Liverpool office\n, • Generous pension contribution\n, • 25 days' annual leave plus bank holidays\n, • Ongoing learning and professional development\n, • The opportunity to work on large-scale digital transformation programmes within a stable, market-leading organisation\n\n If you're passionate about automation and enjoy working in a collaborative engineering environment where quality is a core focus, we'd love to hear from you. Apply today with your latest CV and we'll be in touch to discuss the opportunity in more detail.

Data moves fast, and the businesses that win are the ones whose data can keep up with their ambition. That is the problem this role exists to solve, and it is a genuinely interesting one.As our Senior Data Engineer at Protein Works, you will be the person who owns the pipelines, the warehouse, and the data infrastructure that the rest of the business quietly depends on every single day. Not for the sake of a tidy architecture diagram, and not to build something impressive that nobody queries. For leverage: making decision-making across marketing, trading, operations and finance faster, more trustworthy, and more commercially effective by building infrastructure the business actually relies on.This role sits inside a growing and highly capable Business Intelligence team, at the heart of Protein Works' AI transition. That means you will be laying clean, well-governed foundations that let AI workflows, agents, and analytical tooling deliver real value, not inheriting someone else's half-finished setup. You will work across our Google Cloud data stack, connect APIs and pipelines into coherent systems, and take ownership of the full journey from initial brief through to a pipeline running reliably in production. If you are the kind of engineer who takes pride in clean pipelines, fast queries, and infrastructure that just works, this is a role worth reading on about.About Protein WorksFounded in 2012 on a clear conviction: the sports nutrition industry had become complacent, and there was a better way to do it. Over a decade later, we are a £50m business with five consecutive years of double-digit growth, a brand new £10m campus in Liverpool, and ambitions that go well beyond where we are today.We are growing, investing and hiring with purpose. If you want to join a business with the energy of a challenger and the foundations of a market leader, this is the right moment to do it.What you will be doing\n\n • Owning BI infrastructure end-to-end, from initial brief and requirement gathering through to data pipeline development across APIs, ETL, ELT and SQL\n, • Working alongside Data Analyst colleagues to help them generate impactful business insights and analysis\n, • Taking day-to-day responsibility for the quality, security and performance of our Data Lake and Warehouse\n, • Building and maintaining robust CI/CD processes for data pipelines using tools such as Cloud Build and GitHub, raising the standard of how code is tested, deployed and version-controlled\n, • Proactively monitoring pipeline health, optimising performance, and managing infrastructure costs to ensure efficient scaling\n, • Applying strong data modelling, semantic consistency and metadata discipline so data is discoverable and usable by both humans and AI tools\n, • Partnering with function-specific AI engineers and analysts to understand their data needs and unblock them quickly\n, • Using AI tooling to accelerate your own engineering, from code generation to pipeline documentation to data quality checks\n, • Championing knowledge sharing and best practice across the team and wider business\nWhat success looks like\n\n, • Demonstrable data engineering experience with a data warehouse platform, with pipelines and infrastructure you can point to\n, • Extremely strong SQL skills, non-negotiable\n, • Significant hands-on experience integrating APIs into real, production data flows\n, • Experience with the Google Cloud Platform data stack, including BigQuery, Cloud Functions, Cloud Storage, Pub/Sub, IAM Management, and Data Studio\n, • Strong working knowledge of Python for pipeline development, automation, and tooling integration\n, • Hands-on experience with Cloud Build and GitHub for version control and CI/CD\n, • A working understanding of how to keep data AI-ready: strong modelling, semantic consistency, and metadata discipline that both humans and AI tools can rely on\n, • Comfortable working across the full data landscape that a growing DTC business touches: marketing, trading, operations and finance\n, • Able to take a messy brief and turn it into a structured, working pipeline without needing it handed to you step by step\n, • A high personal standard for detail and communication, because the data you ship becomes the truth other teams build decisions on\n, • A degree is not required for this role. What matters is what you have built, what you can show, and how you think about problems.\nNice to have: hands-on experience with dbt, Dataform or equivalent transformation and orchestration frameworks; familiarity with Terraform or equivalent infrastructure-as-code tooling; comfort with vector databases, embeddings, or semantic search; and working knowledge of Google's marketing stack, including Google Analytics, Google Tag Manager, Google Ads and Google Search Console.You are the kind of person who designs for systems running reliably without you, not for you firefighting them. You ask whether a pipeline will hold up at scale before you ship it. You are commercially grounded enough to connect every piece of infrastructure back to speed, cost, or trust in the numbers, and you are honest enough to flag a problem rather than let bad data quietly spread. You are energised by pace, not exhausted by it, and you are comfortable in an environment where the team is figuring things out together. Twelve months from now, success looks like this: the data platform is faster and more trustworthy, AI workflows across the business are running on foundations you built, and you are already halfway through the next problem.What you will get\n\n, • Exclusive staff discounts\n, • Private healthcare\n, • Birthday day off\n, • Pension scheme\n, • Unique bonus scheme\n, • Cycle to work scheme\n, • Access to retail discounts\n, • Staff socials and events\n, • State of the art PW Campus\n, • WFH on Fridays\n, • Refreshments on-site\nREF-229 659

Company description:Cloud EngineerJob description:Uniting whats next in traffic.Cloud EngineerAt Yunex Traffic, we launch cities into the future with forward-looking infrastructure and transport solutions, making mobility safer, more efficient and more sustainable for all.Please note This role is not eligible for Skilled Worker visa sponsorship.Our Commitment:At Yunex Traffic, the uniqueness of our people is our strength. Our people are at the heart of what we do and every voice, perspective and contribution is valued. The future of mobility needs people who think down different tracks and we empower our people to transform cities all over the world. Join us and make a difference too.If we all thought the same, we would never think of anything new. Thats why we recruit great minds from all walks of life. We embrace diversity and create whats right for the world by employing the people who live in it.At Yunex Traffic, we recognise that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants to encourage agile working and innovation.Do you want to make a difference with the work you do? Join us as a Cloud EngineerDo you enjoy getting to the bottom of tricky issues, making sense of data, and keeping cloud-hosted services running smoothly? If you like a role that mixes hands-on problem-solving with real-world impact, this could be a great fit.We are seeking an Cloud Engineer to join our Operations team, supporting the cloud, data and backend systems that underpin a range of Yunex Traffic products. Youll work closely with Infrastructure Support, Application Support and Development teams to keep services reliable, secure and well-run - with a strong focus on SQL-backed platforms and the data that drives them.This role suits someone who enjoys variety: cloud operations, troubleshooting, and digging into SQL/data issues to find the real root cause. Were looking for an inquisitive mindset, solid fundamentals, and the drive to learn and improve things.Responsibilities:Cloud & Infrastructure SupportTroubleshoot and resolve infrastructure and application incidents, working through symptoms to root cause.Carry out day-to-day operational tasks such as updates, configuration changes, health checks and environment verification (including database/service checks where relevant).Support and maintain AWS services used across our operational platforms (e.g. EC2, VPC, ECS/EKS, RDS, MSK, CloudFormation, CloudWatch).System Operations & MonitoringMaintain and improve monitoring and alerting so services stay healthy, performant and supportable.Work within established incident and problem management processes, keeping notes clear and producing concise operational updates.Investigate SQL/database issues in live environments-performance, failed jobs, data integrity and access-and work with engineers to agree safe fixes.Support deployment activities (including database changes where applicable) and work with developers to ensure smooth releases to test and production environments.Technical CollaborationWork with Application Support, Development, and QA teams to understand how systems operate end-to-end.Provide clear and effective communication during incidents and investigations.Contribute to technical discussions and helpdesign andimplement agreed solutions.Suggest improvements, automate repeatable tasks, and improve observability so we spot issues sooner.Continuous Improvement & DocumentationIdentify opportunities to improve reliability, maintainability, testabilityand efficiency-from cloud configuration through to SQL/database performance.Keep documentation up to date: diagrams, operational procedures, runbooksand SQL/data support notes that help others move faster.Assist with automation using scripting or infrastructure-as-code, including repeatable operational checks and data maintenance tasks where appropriate.Security & Compliance SupportSupport patching cycles, vulnerability reviews, and security investigations.Assist with DR testing, backups, and operational readiness activities.Follow internal policies and contribute to compliance requirements as needed.Customer & Stakeholder EngagementSupport customer queriesand internalreviews relating to infrastructure orapplicationbehaviour.Provide clear, customer-focused communication when assisting with escalations or investigations.Qualifications & Experience:EssentialHands-on experience supporting production systems, with a good grounding in SQL and database-backed applications.Working knowledge of core AWS services (e.g., EC2, VPC, ECS/EKS, RDS, CloudFormation, CloudWatch) and how they fit together in real environments.Good understanding of Linux and/or Windows Server administration (including services that support databases and backend applications).Database experience (SQL Server and/or MySQL): performance troubleshooting, query plans/index basics, scheduled jobs, backups/restore concepts.Basic networking understanding (routing, firewalls, security groups, VPN concepts).A methodical approach to troubleshooting-comfortable working with logs, metrics, alerts and data to find whats really going on.Familiarity with scripting (PowerShell, Bash, Python, or SQL scripting) to automate operational tasks.Clear communication skills-able to explain technical issues simply and keep people informed during incidents.Ability to effectively use and integrate AI-assisted activities into daily work.A proactive mindset: you spot patterns, ask good questions, and enjoy learning new tools and techniques.DesirableExperience with CI/CD tools (e.g., GitLab CI/CD) and supporting release pipelines.Exposure to infrastructure-as-code (CloudFormation, CDK, Terraform) and version-controlled change.Agentic AI developmentskillsacross various LLMs.Experience with observability tooling (dashboards, log aggregation, tracing) and using data to improve on-call and reliability.Experience with queuing/messaging technologies (Kafka, RabbitMQ, ActiveMQ).Knowledge of traffic management or intelligent transport systems.We offer:Competitive Package including an annual bonus.Continuous training and learning opportunities to support career development.26 days of holiday, increasing up to 29 with length of service.37.5-hour working week.Excellent pension, with matching contributions up to 10% of pensionable salary.Flexible benefits package to suit your personal needs.Investment in personal development and support for membership of professional institutions.How do I apply?We can only accept online applications. Click the Apply Now button below to submit your application.About Us:We are a global leader in intelligent transport systems with more than 3,500 passionate employees who pioneer, develop, create, install and maintain innovative road traffic and mobility solutions all over the world.We make our roads smarter, safer and greener. The work we do enables cities, highways authorities and infrastructure operators to create a new world of mobility and makes cities more livable for everyone.Our solutions range from traffic lights, tolling solutions and tunnel management to software, AI applications and the intelligent networking of all road users.Become a Traffic Transformer and help us to continue transforming towns and cities all over the world.What else do I need to know?To stay up to date with what were up to at Yunex Traffic UK, including our events and some of our exciting new job roles, sign up for our UK Recruitment Newsletterhere.TPBN1_UKTJ

Machine Shop Team LeaderLocation : On-site role, based in Poole, BH17 7EFSalary : Competitive, DOE + Excellent Benefits!Contract : Full time, PermanentBenefits : 25 Days Holiday (Christmas Shut Down), 10% Pension Contribution, 5x Death in Service, Sharesave Scheme, Health Cash Plan, Cycle to Work Scheme, Bippit - Financial health Check and Guidance, EAP, Onsite Physio and Massage, Work WearAt IMI, we are a global specialist engineering company creating breakthrough solutions that help our customers solve today's challenges and prepare for tomorrow's opportunities.We design, build and service highly engineered products in fluid and motion control applications across Industrial Automation, Process Automation, Climate Control, Life Science & Fluid Control, and Transport.Innovation, collaboration and continuous improvement are at the heart of everything we do.If you're a strong people leader with a manufacturing background and a passion for operational excellence, we'd love to hear from you.The OpportunityWe are seeking an experienced Machine Shop Team Leader to lead one of our shift teams across both our standard and non-standard machine shop operations.This is a hands-on leadership role where you will be responsible for driving safety, quality, delivery and performance while developing and supporting a highly skilled team.You'll play a key role in ensuring production targets are achieved, continuous improvement initiatives are delivered, and world-class manufacturing standards are maintained.Shift Pattern: Double Days2 weeks Early Shift2 weeks Late ShiftThis shift pattern is a key requirement of the role.What You'll Be DoingLead and develop a high-performing machine shop team to deliver safety, quality, delivery and productivity targets.Coordinate labour, machinery and resources to maximise efficiency and support On Time Delivery (OTD).Drive a strong safety culture, ensuring compliance with risk assessments, COSHH and safe working practices.Manage performance, attendance, training and development, building a flexible, multi-skilled workforce.Lead investigations, problem-solving and Root Cause Analysis to resolve operational and quality issues.Drive Lean Manufacturing and continuous improvement initiatives, including 5S, Kaizen and TPM.Monitor and improve operational KPIs, implementing actions to enhance performance and efficiency.Provide technical machining support and work with Production Engineering to improve processes, tooling and manufacturing methods.Ensure compliance with quality standards, SOPs and best practice across the machine shop.About YouWe're looking for a confident and capable leader who can inspire teams and deliver results in a fast-paced manufacturing environment.You'll ideally have:Proven leadership experience within a CNC machining or manufacturing environmentStrong understanding of machining processes and production operationsExperience leading teams across diverse manufacturing activitiesKnowledge of Lean Manufacturing and continuous improvement methodologiesStrong problem-solving and decision-making skillsExcellent communication and stakeholder management abilitiesGood IT skills, including Microsoft OfficeStrong understanding of Health & Safety requirements within manufacturingA proactive, hands-on approach and the flexibility to support operational demandsWhy Join IMIOpportunity to lead a critical function within a global engineering businessBe part of a culture focused on innovation, continuous improvement and operational excellenceGenuine opportunities for professional development and career progressionComprehensive benefits packageWork with skilled colleagues who are passionate about engineering and manufacturing excellenceApply TodayIf you're an experienced manufacturing leader looking for your next challenge and are comfortable working a double day shift pattern (2 weeks earlies / 2 weeks lates), we'd love to hear from you.Join IMI and help us engineer breakthrough solutions that create lasting impact.Apply now!TPBN1_UKTJ

Senior Embedded Software Engineer Embedded C/C++ Merseyside | £55k–£65k Hybrid Senior Embedded Software Engineer wanted for an established embedded electronics business in the North West. Embedded C / C++, CAN bus, 32-bit microcontrollers, and real vehicles to prove your code in. Commutable from Liverpool, Chester, Warrington and across Cheshire and Merseyside. They build intelligent systems that go into specialist vehicles. Real kit, in real vehicles, doing a real job. And that's the tone of the role: bench, lab and vehicle work, not always at a desk and a backlog. You'd be the senior firmware presence in the R&D team. Leading the build from architecture through to proving it works in the vehicle itself. Setting the quality bar. Bringing the less experienced developers on. The engineer they're after Substantial years of commercial embedded firmware development in C / C++ on 32-bit microcontrollers with a history of leading delivery on tricky products. Solid vehicle-bus background. CAN bus, LIN or similar is essential, and the deeper the better: bus design, message architecture, diagnostics, and the tooling to troubleshoot it (CANalyzer, PCAN, BusMaster or equivalent). Actually happy in a vehicle. Harnesses, wiring, in-vehicle debugging, commissioning. Strong real-time embedded fundamentals: RTOS, interrupts, low-level drivers, and the usual protocols (SPI, I2C, UART). Confident reading schematics and working shoulder to shoulder with hardware engineers. Additional experience of interest CAN-FD, J1939, UDS or ISO 26262 functional safety. Vehicle body control systems. Bootloader and OTA firmware development. The shape of it Based in the North West, commutable from Liverpool, Chester and Cheshire. Hybrid in principle, but the lab, the bench and the vehicles are on site, so plan on three days a week minimum in the building. Workshop-anchored, not remote-first. If that sounds like your kind of work, or you know the person who should see it, get in touch or apply today

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.

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.

Service Delivery Consultant Remote-based/ travel to customer and Roc offices as required) We’re looking for a highly skilled Senior Security & Infrastructure Engineer (SDE) to play a key role within a Managed Service environment supporting a high-profile customer. In this position, you’ll lead on proactive support, technical delivery, and continuous improvement of managed services. Acting as the highest point of technical escalation, you’ll work closely with customer stakeholders, internal teams, and project staff to deliver secure, resilient, and best-in-class solutions. This is a hands-on, technically advanced role with a strong focus on security operations, infrastructure protection, and service excellence. What You’ll Be Doing Security Operations • Monitor and respond to security alerts, threats, and incidents across infrastructure and cloud environments, • Investigate complex incidents (malware, phishing, unauthorised access, vulnerabilities), • Implement and maintain security controls across systems and endpoints, • Work with SIEM, endpoint protection, and threat detection tools Infrastructure & Cloud Security • Secure servers, networks, and cloud platforms in line with best practices, • Manage identity and access controls (Active Directory, Azure AD, privileged access), • Oversee patching, system hardening, and configuration management, • Lead security onboarding using tools like Microsoft Defender and Purview Incident Response & Threat Management • Lead technical investigations and remediation activities, • Conduct root cause analysis and recommend preventative measures, • Support forensic investigations when required Vulnerability & Risk Management • Perform vulnerability assessments and coordinate remediation, • Identify risks and recommend security improvements, • Collaborate across teams to reduce organisational risk Technical Leadership & Escalation • Act as the senior escalation point for complex issues, • Support and mentor Service Desk and 2nd/3rd Line engineers, • Provide technical input into new managed service opportunities Compliance & Best Practice • Support compliance frameworks (ISO 27001, Cyber Essentials, NIST), • Assist with audits and ensure adherence to policies and standards Continuous Improvement • Enhance processes, tooling, and documentation, • Drive automation and improved monitoring capabilities, • Stay current with emerging threats and technologies What We’re Looking For Essential Skills & Experience • 5+ years in a Managed Services environment, • Strong knowledge of security operations and infrastructure security, • Experience with Microsoft 365, Azure, and cloud security, • Virtualisation experience (VMware & Azure), • Backup solutions (Veeam, Azure Backup), • Networking knowledge (routing, switching, VLANs, firewalls, VPNs), • Experience with SIEM and security monitoring tools, • Familiarity with Microsoft Defender, Endpoint Protection, or similar tools, • Strong understanding of ITIL frameworks, • Excellent communication and stakeholder engagement skills Desirable • Security certifications (CompTIA Security+, Microsoft SC-200/300/100), • Knowledge of ISO 27001, NIST, CIS benchmarks, • Experience with ITSM tools, • BPSS or SC Clearance Key Attributes • Strong problem-solving and analytical skills, • Ability to prioritise and perform under pressure, • Proactive, self-motivated, and driven to improve, • Collaborative team player with leadership capability, • Professional, customer-focused approach Additional Information • Travel to customer and Roc offices may be required, • Participation in a 24/7 on-call rota (subject to approval), • Occasional out-of-hours work for maintenance/releases (TOIL provided)

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless — all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re hiring Attio’s first dedicated Data Engineering Lead to build the infrastructure, pipelines and standards that enable the company to operate on reliable, trusted data at scale. As our inaugural Lead Data Engineer, you’ll own and evolve our internal data platform end-to-end — improving reliability, enabling better decision-making, and shaping the long-term foundations of data across the business. Your work will directly support teams across Product, Engineering, Marketing, Finance and Go-To-Market. We see this as far more than a traditional Data Engineering role. It’s an opportunity to define and shape Attio’s future data capability from the ground up — operating as a highly hands-on senior IC initially, whilst helping establish the foundations, standards and strategic roadmap for how the broader data function evolves over time. The role is ideally suited to someone who enjoys bringing structure to ambiguity, solving complex infrastructure challenges, and working closely with the business in a fast-moving, product-led environment. We’re looking for someone who is equally comfortable being hands-on and building, whilst also thinking strategically about how scalable data systems, processes and teams should evolve over time. Build and stabilise core data infrastructure: Design, build and maintain reliable, scalable pipelines and systems that ensure data flows correctly across the business and support critical operational and reporting workflows. Improve data reliability and observability: Own and improve the quality, resilience and maintainability of Attio’s broader data infrastructure — helping reduce operational risk and improve trust in the data underpinning the business. Shape Attio’s future data architecture: Partner closely with Product, Engineering and business stakeholders to define how our data platform should evolve over time, balancing immediate business needs with long-term scalability. Enable better business decision-making: Help create the foundational datasets, transformations and infrastructure required to support experimentation, analytics and operational reporting across the company. Operate as a senior technical leader: Bring clarity and direction within ambiguity — taking loosely defined problems, creating clear plans of execution, and driving outcomes with a high degree of ownership and autonomy. Help build the future data function: Contribute toward defining best practices, technical standards and longer-term hiring plans as Attio’s data capability matures and scales over time. Strong Data Engineering foundations: Deep hands-on experience designing and maintaining modern data infrastructure, pipelines and transformation layers within cloud-native environments. Technical depth across modern data tooling: Strong hands-on Data Engineering capability across modern tooling such as BigQuery, DBT, SQL and Python (or equivalent ecosystems e.g. Snowflake). Startup or scale-up experience: You’ve operated within fast-moving product or engineering-led environments and understand how to balance speed, ambiguity and long-term technical quality. Translation across abstraction levels: Able to move fluently between ambiguous business problems and precise technical implementation by translating effectively in both directions. Quantitative reasoning: Able to translate ambiguous business concepts (e.g. “activated workspace” or “qualified lead”) into clear, measurable and defensible definitions, with strong judgement around whether resulting outputs represent meaningful signal or simply noise. High ownership and autonomy: Comfortable operating as a senior IC with minimal direction. You have experience being responsible for problems end-to-end and driving them through to resolution. Pragmatic technical leadership: You’re able to bring structure and prioritisation to unclear problem spaces, communicate effectively with both technical and non-technical stakeholders, and influence decisions across the business. Commercial and operational awareness: You understand that data infrastructure is not just an engineering problem: it directly impacts product velocity, reporting accuracy, experimentation capability and commercial performance. Bias for action: You move with urgency, enjoy solving difficult problems, and are equally comfortable operating strategically as you are rolling up your sleeves and building directly. UK benefits Competitive salary of £115,000 - £145,000 Equity in an early-stage tech company on an incredible trajectory 25 days holiday plus local public holidays Apple hardware Private medical insurance through AXA Pension contribution through Hargreaves Lansdown Enhanced family leave Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) Initial Conversations 30-minute introductory call with a member of our Talent team 45-minute conversation with our CTO & Co-Founder Core Interviews System Architecture & Technical Foundations session with our Staff Product Engineer Data Analysis & Commercial Reasoning session with our Product Lead - Growth Final Stage 30-minute closing conversation with our CEO Optional team meet-and-greet (on request) Offer call (if it’s a mutual fit)

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 .

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

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Engineering Manager - Platform - Usage This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only. The Opportunity: Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for a proven leader who enjoys guiding teams in solving complex workflow and systems problems, driving improvements in reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineering Managers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: • Manage and grow a distributed team of engineers, conducting regular 1:1s, providing consistent feedback, and supporting individual performance and career development., • Partner with product management and engineering leadership to shape the Usage squad's roadmap, strategy, and OKRs, ensuring alignment with overall company mission and customer impact., • Guide the team through the full project lifecycle, from early technical design and scoping to delivery and post-launch iteration, ensuring high-quality and timely outcomes within the Usage domain (e.g., billing engine, cost management and billing app, reconciliation systems)., • Act as a project manager, facilitating collaboration with Product, DealOps, GTM, Pricing and Monetization, Support, and adjacent AppCore squads to remove blockers and ensure coordinated delivery across service boundaries., • Foster a high-trust, security-first team culture that embraces thoughtful AI-assisted development practices to enhance engineering workflows and eliminate toil., • Contribute to hiring and talent acquisition efforts, partnering with People Ops to attract and retain a diverse group of engineers. What Makes You a Great Fit: • Experienced in people management, including conducting regular 1:1s, delivering candid feedback, and supporting career growth and performance conversations., • You are a leader who empowers engineers, focusing on setting clear direction, aligning on outcomes, and identifying risks early rather than providing task-level oversight., • Transparent and direct by default; you advocate clearly for your reports and proactively resolve ambiguity or conflicts, especially when priorities collide., • A strong communicator who thrives in a fully remote and globally distributed environment, comfortable collaborating asynchronously across time zones and cultures., • You take initiative and can move work forward in complex, systems-focused problem spaces, such as stateful systems, eventual consistency, and reconciliation loops. Requirements: • Minimum 2 years of experience managing software engineering teams., • Prior experience as an Individual Contributor (IC) in a related engineering role for at least 3 years., • A strong software engineering background, ideally including experience in backend systems (like Go), sufficient to credibly engage in technical design discussions and challenge the team toward strong decisions., • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability., • Demonstrated ability to manage delivery across multiple concurrent projects, align stakeholders with competing priorities, and clearly communicate risks and timelines., • Comfortable working with engineering teams who have a strong sense of autonomy in their decision-making., • Deeply customer-focused, consistently grounding technical decisions in real-world user and business impact., • Comfort with AI-assisted tooling and an expectation that you are curious and comfortable integrating AI-powered tools into a team's workflow. Bonus Points For: • Experience with high-volume billing systems, usage metering, and customer-facing cost management applications (like CMAB)., • Practical experience implementing and automating complex pricing logic, promotions, discounts, rebilling, and usage forgiveness, while ensuring strong auditability., • Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and compliance or system refactoring related to IT General Controls or Role-Based Access Control (RBAC)., • Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems., • Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems., • Familiarity with observability tooling (e.g., Grafana, Prometheus, OpenTelemetry)., • Experience contributing to or maintaining open source projects. Compensation & Rewards: In the UK, the Base compensation range for this role is GBP 103,000 - GBP 129,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Are you a Senior Software Engineer with experience in C# or java? Are you looking for an opportunity to be a technology disruptor / change maker in your role? Do you want a remote-first role at a company that lets you be in control of your own time? We've been exclusively retained by our client, a well loved household name, known for the award winning delivery in the B2C space, to help them with their search for a Senior Software Engineer. You will be working on their core technology, which links the every day user experience to back end B2B suppliers. This is mission critical software for this business. At the crux of the successful applicant is a Senior Software Engineer who sees a programming language as a tool to address a challenge, rather than being hung up on the tooling itself. You'll have the ability to work with your peers to choose the best tool for the job, so if it's better to run with Go or Rust over what's in place already, with the buy-in of the tech leadership you'll have their full support to implement. Essential skills for the role:- • Minimum 6 years' experience working as a senior software engineer with C#. We'd also be interesting in speaking with java engineers who would be comfortable making the switch to C#., • Minimum 6 years' experience working with cloud technology, ideally AWS, though other cloud techs are also of interest, • Comfortable developing APIs / RESTful, • Full ownership of your code, we're looking for this across the SDLC from TDD, through to CI/CD pipeline implementation and monitoring, • The ability to build systems that scale! This client is anticipating 3x growth, the platform already supports billions of transactions a day. We're also looking for emerging leadership qualities, as evidenced in your ability to coach and mentor those around you. Benefits This is a hybrid role which will require your in-office attendance 2-3 days a month. The client is open to applicants living anywhere in the UK, but not overseas. You'll also get: • 25 days holiday plus your birthday off, • Generous company discounts (we can't tell you what these are in an ad, but they're a crowd-pleasing perk, to say the least), • Flexible working hours (with core team hours of 10am - 4pm), • Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support, • Employee Assistance Programme and free access to counselling, • Health Plan, • Company Sick Pay scheme, • Regular wellbeing events, • Gym discount, • Share Incentive Plan (SIP), • Death in Service cover, • Onsite subsidised coffee shop and onsite bar, • Cycle to Work scheme, • And more! If you are into developing resilient, high volume trading systems, that integrate seamlessly into RESTful endpoints with an underlying design built to scale we'd love to hear from you. Interested candidates are encouraged to apply. Promising applicants can be assured of a response within 24 hours, to include full details of the role and the excellent benefits package on offer. TheDifferenceEngine is a recruitment agency working exclusively in support of our client.

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

Bloom & Wild is re-inventing the $60B global flower industry. Over a billion flower exchanges take place every year and industry satisfaction levels are low. Driven by our vision of creating the destination for making life a little more thoughtful and beautiful, we do things differently. From inventing letterbox flowers to founding The Thoughtful Marketing Movement. And we’ve seen impressive traction to date - we are Europe’s largest direct to consumer flower company. In January 2021 we announced our £75 million Series D funding round, led by General Catalyst (backers of Airbnb and Deliveroo), alongside other top tier investors including Index Ventures (investors in Wise and Glossier). We are home to a family of 3 strong brands, Bloom & Wild, bloomon and Bergamotte, having acquired bloomon in April 2021 and Bergamotte in July 2021. Together, we are active in 8 countries. We were named one of the 5 fastest growing tech companies in Europe and are alumni of Tech Nation’s Future Fifty. We were also one of the Sunday Times Top 100 Small Companies to Work For 2020. We really care about creating a diverse and inclusive team and we welcome people from all backgrounds, with different perspectives, ideas and experiences to work with us. In our team, everyone has the freedom to give their opinion, grow in their career and be part of a genuinely caring and inclusive team. Tech Team @ Bloom & WildOur Technology team sits at the heart of our business, building and maintaining the solutions that power e-commerce, production, and fulfillment. Our platform uses technologies including Ruby and Rails and Python/React, backed by PostgreSQL, Fargate/ECS on AWS, and Cloud Run on GCP. It exposes APIs that are used by our multi-brand Angular webapp and our native iOS and Android mobile apps. We’re also looking at developing new domain-driven services & microservices where applicable. Our Product Engineering team is organised into cross functional squads, each responsible for a business and architectural domain, supported by Platform and Data Engineering. You’ll join the Range squad, a cross-functional team within our Ops-Tech group. We focus on the internal systems that power range representation, product allocation, and stock management — a core domain of our business that directly influences what our customers see and receive. Our work connects closely with many other squads across Bloom & Wild, as we support the smooth flow of products from planning through to delivery. Most of our team is based in the UK and works in a flexible model, with choice in how often they travel to the office. Our squads meet all in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together. You can read lots more about our technology stack and our culture over on our tech blog - _. 💻 What you’ll be doing…As a mid-level engineer in our Range squad, you’ll help build and maintain the internal tools that power our warehouse operations — from bouquet assembly to order fulfilment across multiple countries. • Working closely with our product manager, engineers, and stakeholders to understand real-world needs and translate them into working software., • Building and improving our internal tools using Ruby on Rails and related technologies., • Making iterative improvements to our monolith while contributing to the development of new features to support our rapidly expanding curated range of products., • Writing clear, tested, secure, maintainable code and participating in code reviews to ensure high-quality solutions., • Exploring new ideas and opportunities to improve our monolith and workflows., • Helping to shape our technical decisions by sharing your ideas and contributing to discussions about architecture, tooling, and best practices., • Contributing to technical discussions and helping ensure our solutions align with our technical strategy and business goals., • Collaborating with your squad to deliver work in small, valuable increments — using agile practices and modern tooling., • Monitoring, debugging and improving the performance of our systems with observability tools., • You are a Ruby developer (2+ years of experience) with good knowledge of Ruby on Rails in a production environment and are keen to keep growing your expertise., • You have experience working with RESTful APIs, version control tools such as GitHub, and testing tools like RSpec., • You’re curious about how things work — whether it’s diving into a new tool, exploring performance improvements, or figuring out how real-world problems translate into code., • You want to work in a kind, inclusive, and supportive environment where people care about their work and each other., • You have experience working in a fast-growing (preferably consumer-facing) startup / scaleup., • You have experience of distributed service architectures, including how best to test and release them, and how to ensure system stability when making changes independent of other services.Why Bloom & Wild?To care wildly for our customers, first we care wildly for our teams. We work hard to craft a culture of thoughtfulness and care, where there is a strong sense of inclusion and belonging, enabling all of our people to thrive and be successful each day. 🌻Work that works for you - Flexible working : our core hours are 10-4, but outside of these hours you can start or finish your day when works best for you- Work Abroad for up to 30 days each year - Share in our success with a choice to take equity options from day 1- Enhanced family leave policy and a workplace nursery scheme- 1 day per year to volunteer on a project that’s close to your heart 🌴 Time off- 25 days’ holiday + your birthday and bank holidays each year- Option to buy an extra 5 days’ holiday each year - Flexible bank holidays - trade a bank holiday for another day that fits your beliefs, values and celebration calendar 🌱 Health & Wellbeing- Health cash plan through Simplyhealth- Mental health support through Open Up, including access to online therapy sessions- Allies and champions groups- Mental Health First Aiders and awareness training for our managers - In person or virtual yoga every week- Cycle to work scheme- Electric car scheme- Our office kitchen is stocked with drinks and snacks to keep you going- Financial wellbeing support through Bippit- Workplace pension contributions 🌳 Growth & Development- A flexible training framework for every stage of your career development through our Bloom & Learn programme- Access to the Goodhabitz learning platform- Mentee and mentor opportunities with our external partners, such as The Women's Association and Future Founders- Internal & external Speaker Sessions on a variety of different inspirational topics 💐 Moments that matter- Social & wellbeing monthly calendar- Summer and End of Year events, team lunches and post-peak celebrations- Irresistible discounts on our products, blooms & subscriptions! SponsorshipWe're proud to hold an A-rated sponsor license, so we can assign certificates of sponsorship. This means we can support applications from anywhere as long as the job is deemed suitable under the points based system. 🫱‍🫲 Getting hired We’ll do everything we can to make sure your interview experience with us is a good one. It’s a 2-way process, and we’re keen to answer all of the questions you may have, so that you can be sure (and excited!) that we’ll be the right place for you. If your application is successful you can expect: • The majority of our A chat with Leroy, our Talent Consultant for Tech - to discuss our role and learn a bit more about your skills and background and how we might match your career & development goals.- An interview with Tonci, our Engineering Manager to get into more of the detail.- A chance to show us how you work through a technical challenge, which can be a live paired coding/whiteboard session.A final chat with our CPTO or VP of Engineering. We believe in leading change for good, so do let us know if there’s anything we can do to support your application process. Also, if you have any feedback, please help us to improve our candidate experience by sharing (anonymously) _.

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 .

Hi 👋 I’m _, Director of Engineering, Europe. How do you feel about engineers writing product specs, making product decisions, and not breaking down projects into individual tickets? If that sounds exciting (even if a bit scary), read on because I’m looking for an engineering manager to help us build a different type of engineering team and culture at Ashby. To start, why do we need to be different? Time and again, I have witnessed engineers knowing what needs to be done yet being unable to get things done because of “the process” or because “more data is needed.” Some of the most effective projects have been skunkworks projects, where engineers have taken total ownership of a problem and driven it to completion. I want to normalize that at Ashby. When we think about how these processes came about, we realize they carry a pessimistic mindset. They box people into smaller roles to minimize the chance of not meeting a certain standard. At Ashby. we’re building an environment that is optimistic about what engineers can own and achieve and embraces the innovative engineers (and frankly, often stays out of their way). To accomplish this, our engineering leaders need to think deeply about individual performance, process, and culture - not running sprint planning or driving product and technical decisions. You’ll focus on building your team, their skills to thrive with the ownership they’re given, and an environment that empowers them to do their best work consistently, with little distraction. For junior EMs we try to stay within 6 direct reports. This enables them to spend time with our teams observing, correcting, praising, and, yes, coding. We like our managers to be hands-on while also making sure they’re not on the critical path. We’ve already gathered an_ of 25+ engineers. You’ll help me manage the growing team of engineers in Europe. In addition to working with engineers you’ll also get to work on projects yourselves. Some examples of work our engineering leaders have done: Provide feedback on product and technical specs to help engineers identify where to cut scope or improve quality. You don’t make the final decisions, but you’ll influence and coach ICs to reach the right ones. Grow engineers to the point where they can take large, loosely defined projects, and deliver them with little intervention. They still ask for help when needed - the difference is that they’re driving. Jump into our systems and code to debug a customer issue, ship a small bug fix, or improve our developer experience. Engineering leaders at Ashby are great engineers and enjoy keeping their skills up-to-date (while staying off the critical path). Improve how we generate and simulate data in demo accounts. It’s a project off the critical path, but it helps you keep up-to-date on our codebase while immensely impacting the business, from Engineering to QA to Sales. I had two experiences early in my career that set me on my path. I had a great manager who asked tonnes of questions about the decisions I was making and coached me without me realizing it. And I had a terrible manager - being told to work harder after a week of 3am finishes was not what I needed as a young engineer. The stark difference between these two experiences motivated me to become a manager: I wanted every engineer I worked with to have the support I had in the best case. Since then, as I’ve learned more, I’ve realized that I love the kind of problems I get to solve as a manager. Deeply complex problems with long-term impact both on the company and on people’s lives. One of my proudest achievements is creating a fully transparent pay system, and on the day it was revealed, everybody was happy with it. Nobody stormed out. By spending time thinking deeply about everybody’s pay and ensuring the mechanics of promotion were clear, I put the team in a place where they could see a peer was paid more than them, and it not be a problem. Despite all this, I love being technical. I sometimes indulge myself and spend a morning writing some code to improve tests or provide better abstractions. If I couldn’t be a manager, I’d be super happy to be an IC. I’m looking for someone who is passionate. Passionate about both management and being technical. Someone who spots a pattern amongst their team, figures out a better way for us to operate, and then builds the automation that powers it. I introduced a new process that enables engineers to merge 30% of PRs without a human review beforehand. I also built the automation that approves these PRs. I also built that automation with abstractions that make it easy for the engineers to improve the automation themselves. It can be hard to find seasoned engineering leaders who haven’t succumbed to the status quo in some way or another. We're committed to giving all our people a total and utter lack of terrible managers, and that means we're willing to take a chance on someone early in their leadership journey who's courageous, principled, and has the drive to build themselves into a great leader who can say “Yah I know everyone is doing that, but we won't because...” Engineering leadership comes in many flavors, not all of which fit our model. I thought I’d outline some things I’m looking for to help you decide if this fits what you’re looking for: You love being technical and can hold in-depth conversations with direct reports from infra to backend to frontend. You enjoy management problems. We want people who get excited about driving people to be their best, giving difficult feedback, and building systems that make this easier You hold your team to a high standard and don’t shy away from getting into the details and giving feedback, even to the best folks on your team. You are an excellent and empathetic communicator. Facilitating change at both an individual and organization level requires understanding how to navigate the beliefs, opinions, and past experiences of engineers and figuring out how to both convince them of a new way of doing things while also leaving yourself open to feedback. You know what exceptional engineers look like. You’ve thought deeply about what makes them tick, how to recruit them, and how to grow folks into them. I want to see depth here, the industry often regurgitates a vanilla description, but the reality is more nuanced. You’re good at thinking about product, business, and maybe even design, but you’re not interested in calling the shots and are more interested in building a team that can make the best decisions without you. You thrive in high-trust, high-autonomy environments. We're a young startup where leaders wear multiple hats, and you'll build your own (high-speed) on-ramp through developing strong feedback loops. Put another way, you shouldn’t apply if: You don’t enjoy coding or don’t find time to stay up-to-date on technology. You’ve gotten into management because it was the only growth path available You want to make all the product decisions instead of empowering your team to make those calls. You're happy with a team of engineers that are predominantly early-career, mid-career, or don't thrive with ownership or autonomy. With enough guardrails, the team can get things done. A staff or principal engineer to you is someone who spends most of their time project managing or doing architecture reviews. You’re not optimistic or convinced that we can build a large engineering team that functions differently than the status quo. You think, at some size, common processes need to be implemented to ensure consistent product delivery (e.g., sprint planning, product managers writing in-depth specifications). You might not say it out loud, but you think, at some size, compromises have to be made for the sake of hiring numbers. Talent teams aspire to build a hiring process that identifies great candidates, moves them quickly through the interview process, and provides an excellent experience for the candidate. To accomplish this, recruiters perform thousands of daily tasks to coordinate and relay information between candidates, interviewers, and hiring managers. Teams struggle to keep up! Scheduling a final round is an excellent example of our customers' challenges. A recruiter needs to collect availability from the candidate, identify potential interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and perform any last-minute adjustments as availability changes. They must perform this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 Ashby provides talent teams with intelligent and powerful software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We put a lot of effort into designing products that are approachable to beginners but mastered and extended by power users. In many ways, spreadsheets set the bar here. We have many customers, great revenue growth, years of runway, and amazing investors like YCombinator, Elad Gil, and Lachy Groom. I’ll share more once we meet. Our engineering culture is motivated by and ’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). Our engineering team (and the team at large) consists of lifelong learners who are humble and kind (meet them !). These attributes create an environment where collaboration happens naturally (we filter for it in interviews). We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers can focus 36h out of a 40h work week (Abhik wrote about it ). Even managers can rely on getting consistent time (and support to make, if necessary) to focus and do creative work without the demand of constant meetings. We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 5x a day. Everyone on the team has contributed to developer experience 💪🏾 Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) which we are constantly improving. Each improvement to a common component cascades throughout our app (short video on it _). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: We, as engineers, find clever ways to solve problems, which amplifies when we deeply understand the problem. All of us in technical leadership did our best work as engineers when we had a deep understanding of the end-user and the business and ownership over the solution. Our engineering culture reflects this experience: engineers own projects end-to-end, from speaking with users to writing product specs to UX design. These are skills that we often don’t get to practice as engineers, and, as a manager at Ashby, you’ll provide mentorship and feedback to engineers to ensure they are successful when delivering projects. Diverse teams_. As the father of two young girls, I want to see them grow up in a world where all industries are open and welcoming to everyone, regardless of race, gender, or preferences. Helping to build a more diverse team at Ashby is my way of contributing to this change. Today, 26% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together. Our interview process is six interviews in the following order: Intro Call (30m) - Discuss your application questions, align on the responsibilities of the role, and answer questions about Ashby. Past Experience Deep Dive (1h) - Discuss your past experience as an engineering leader. Technical Screen (1h) - Add a feature back to Ashby. You'll spend most of your time understanding a specific part of our codebase and write less than 15 lines of code. Coffee Chat with VP of Engineering (1h) - Spend time with our VP of Engineering and get to know each other. Meet the Team (2h) - At this point, the engineering leadership team is excited about you and you'll meet our CEO, Engineers, Product Managers, and some other folks on the team. I will be your main point of contact and prepare you for interviews. If we don’t give an offer, we’ll provide feedback! I’m sharing our tech stack with the caveat that we don’t require previous experience: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. Competitive salary and equity. 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. Unlimited PTO with four weeks recommended per year. Expect “Vacation?” in our one-on-one agenda until you start taking it 😅. Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! $100/month education budget with more expensive items (like conferences) covered with manager approval. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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 .

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

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.

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

Role: Linux DevOps Engineer Salary: £75,000 WFH: Fully Remote (must be able to travel to London data centres occasionally) Overview Our client is a leading audio streaming technology company, enabling global distribution and monetisation of live and on-demand content for major media networks, broadcasters, and government agencies. Delivering billions of listening hours annually, their intelligent infrastructure powers some of the most recognisable names in radio, podcasting, and live event broadcasting. They are now hiring a Linux DevOps Engineer to support a hybrid migration journey from on-premise data centres into AWS and to help maintain 24/7 streaming services at scale. Key Responsibilities • Support and maintain Linux-based infrastructure across two UK data centres, • Assist in migrating applications and services into a hybrid cloud environment (AWS), • Use Infrastructure as Code tools (Terraform, Ansible) to manage environments, • Help automate deployment pipelines and ensure system observability, • Act as escalation point for infrastructure-related support tickets, • Collaborate with engineering and customer success teams to support streaming platform uptime Ideal Candidate • Strong Linux systems engineering and troubleshooting experience, • Confident with IAC tools like Terraform and Ansible, • Understanding of hybrid environments (on-prem + AWS cloud), • Previous exposure to live production, broadcast, or 24/7 service environments, • Comfortable with occasional out-of-hours maintenance and data centre access, • Driving licence required due to physical server access needs, • Proactive, flexible and calm under pressure Tech Stack / Tools • Linux, • Terraform, • Ansible, • AWS (Hybrid migration underway), • Monitoring & observability tooling Benefits • £75,000 base salary, • Time off in lieu for any out-of-hours work, • 25 days holiday, • Fully remote working (must be within travel distance to London), • Dynamic and varied role in a high-performance media infrastructure team, • Opportunity for international travel (e.g., Poland sites), • Involvement in high-scale broadcast and streaming environments Interview Process • Culture & Intro - with Managing Director, • Technical Interview - with Head of Infrastructure, • Final In-Person - with key team members

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

Solutions Architect - Europe • Fantastic opportunity for an experienced Solutions Architect to work with enterprise customers across Europe., • Full-time, permanent role focused on solution design, technical delivery, and customer success., • Competitive salary (£62K - £80K) with equity (approx. 2,993-3,920 shares)., • Fully remote position - UK-based candidates preferred, ideally London or within commuting distance for on-site client visits., • Multiple hires planned - immediate availability or short notice period desirable. Who are the client? Our client is a rapidly scaling technology company that has achieved strong product-market fit and is now expanding with high velocity. Their platform acts as a "mission control" for engineering teams, enabling developers to work faster and more autonomously across the entire software development lifecycle. With a highly talented team and a bold mission to transform how software is created, they are empowering enterprises worldwide to succeed in a software-first world. What will you be doing? This is a customer-facing role for a technically strong Solutions Architect who can act as a trusted advisor to large enterprises. You'll work closely with engineering teams to design and implement solutions that accelerate development productivity. From onboarding and proof of value through to renewal and expansion, you'll drive adoption of the platform, ensure technical success, and influence product direction through customer feedback. What will you need? • Proven experience as a Solutions Architect, Pre-Sales Engineer, or Technical Consultant., • Strong background working with enterprise customers on complex technical challenges., • Ability to design, communicate, and implement scalable solutions., • Excellent problem-solving and troubleshooting skills., • Confident communicator with both technical and non-technical stakeholders., • UK-based (London preferred) with flexibility to visit customers on-site when required. What would be desirable? • Previous experience in developer tooling, cloud platforms, or DevOps solutions., • Track record of driving adoption and expansion of technical products., • Experience influencing product development through customer insights., • A proactive, collaborative mindset with a passion for scaling technology. To Apply… Please apply through this advert or send your CV directly. By applying, you consent to your application being processed and submitted to the client for this vacancy only. KEY SKILLS - Solutions Architect, Pre-Sales Engineer, Technical Consultant, Enterprise Architecture, Developer Productivity, Cloud, DevOps, Technical Advisory, Customer Success, SaaS, Remote, London

Job Title: Senior DevOps Engineer Location: Remote - occasional travel to Manchester office Contract Length: 6 months Day Rate: £500/day (Outside IR35) Clearance: BPSS required upon starting We are seeking two highly experienced Senior DevOps Engineers to support a major digital transformation initiative within a large-scale central government environment. This is an exciting opportunity to contribute to a continuous improvement programme focused on enhancing speed, efficiency, and quality across multiple delivery units. Key Responsibilities: • Establish and embed consistent DevOps practices, tooling, and methodologies across product delivery teams., • Drive improvements in digital service delivery through automation, standardisation, and best practices., • Engage with a wide range of stakeholders, presenting technical findings and influencing strategic direction., • Represent DevOps in cross-functional discussions, winning hearts and minds to foster adoption and alignment. Essential Skills & Experience:, • Proven track record in large enterprise environments, ideally within Central Government., • Strong background in Java and AWS., • Broad experience with DevOps tools and technologies., • Hands-on technical capability combined with strategic influencing skills., • Comfortable working to defined milestones and deliverables in an outcome-focused contract.

Software Engineer London/Hybrid(2-3 days) 100-130k Our client, a leading global financial organisation, is seeking a Software Engineer to design, develop, and enhance software solutions using various engineering practices. This role supports the delivery of business, platform, and technology capabilities for both customers and internal teams. A Java background within financial services(Banking preferred) is essential, combined with experience of security related technologies. In this hands-on role, you will be responsible for: • Develop and deliver high-quality, scalable, and maintainable software using industry-standard languages, frameworks, and tools., • Collaborate with product managers, designers, and engineers to define requirements and ensure solutions align with business goals., • Participate in code reviews, knowledge sharing, and promote a culture of code quality., • Stay current with technology trends and contribute to internal tech communities., • Follow secure coding practices to protect data and reduce vulnerabilities., • Implement effective unit testing to ensure code reliability and readability. Skills and experience required: • Strong hands-on IAM engineering experience across identity management, authentication, authorisation, federation, and related protocols and tooling., • Expertise in SSO, OAuth2, OIDC, PKI, PSD2 SCA, and possession-based authentication., • ForgeRock or equivalent IAM platform experience, including development with PingGateway, PingAM, PingIDM, and PingDS, using JavaScript for scripted routes and authentication trees., • Proficient in Java or JavaScript with experience designing extensible IAM APIs for seamless integration., • Skilled in building PingAM custom authentication trees with API integration to threat sensors (e.g., ThreatMetrix, BioCatch), adaptive/step-up authentication, and linking to external/internal data sources via LDAP, JDBC, SOAP, HTTPS.. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

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.

World Class Defence Organisation based in Stevenage, Hertfordshire is currently looking to recruit a C++ Software Engineer subcontractor on an initial 12 month contract, with very likely extension. The role will be onsite 4 days per week. A 4 day working week is OK (Monday to Thursday). Candidates with a strong C++ Software Engineering / Embedded Software Engineer background ideally from the Defence / Aerospace industry would be suitable for this position. Rate: £67.00 per hour Overtime Rate: Hours worked over the standard 37 hours per week, will be paid at ‘time and a quarter’ Location: Stevenage Hybrid / Remote working: The role will be onsite 4 days per week. A 4 day working week is OK (Monday to Thursday). Duration: 12 Months with very likely extension. Contracts are often ongoing and long-term thereafter. IR35 status: Inside IR35 (Umbrella) Interview process: One stage video interview Job Description: By embracing the latest software technologies and methods the Development Simulation software department delivers exceptional software solutions for non-production based test systems that meet the unique requirements of the prime software development teams. In addition we also provide equipment simulation systems to support product integration as well as software to support and assist the manufacturing process. The successful candidate will join the development team responsible for building and integrating real-time test and data capture systems. The role will focus on developing and maintaining software in a Linux environment, working closely with high-speed multi-channel SFPDP cards, real-time data flows, and complex multi-threaded processing pipelines. Proficient in C++ and with knowledge of C#, you will play a critical part in the design, development, integration, and verification of test software solutions that are central to our system validation and delivery capabilities. Responsibilities: • Design and develop real-time test and capture software on Linux systems using C++., • Integrate and interface with high-speed SFPDP cards across multi-channel data pipelines., • Architect and implement robust, scalable, and maintainable multi-threaded applications., • Define and implement data sequencing and synchronisation logic to support deterministic capture and replay., • Work with hardware teams to ensure seamless integration and timing alignment between software and capture cards., • Lead and contribute to system integration, verification, and testing at both component and system levels., • Conduct performance analysis, debugging, and optimisation of real-time systems., • Document architecture, interface definitions, and test procedures to support handover and formal test activities. Skillset/experience required: • Extensive experience in C++ development in a Linux environment., • Proficiency in C# for tooling, test interfaces, or Windows components as needed., • Proven experience working with real-time data systems, preferably involving SFPDP or other high-speed digital protocols., • Demonstrable skills in multi-threaded and concurrent programming., • Experience with low-level I/O, DMA, or driver-level interactions with PCIe cards or similar., • Familiarity with software sequencing frameworks or custom state machines for test execution., • Strong experience with integration, system test, and debugging complex interactions between software and hardware., • Strong understanding of software design principles, memory management, and performance optimisation., • Experience with version control systems (e.g., Git) and CI/CD Desirable Skills: • Experience with SFPDP (Serial Front Panel Data Port) specifically in defence, aerospace, or data acquisition contexts., • Knowledge of FPGA-based data acquisition systems and synchronisation methods., • Familiarity with unit testing frameworks, automated test rigs, or hardware-in-the-loop (HWIL) setups., • Experience developing or integrating with real-time operating systems (RTOS) or using real-time Linux extensions.

Mid - Snr Software Engineer - Tech for good Location: Remote/Hybrid (UK or Ireland-based, occasional in-person travel) Contract: 9-month fixed-term (Full-time, PAYE) Salary: Up to £65k Make an Impact, Tech That Matters Join a pioneering startup on a mission to break down digital barriers for the deaf community. This company is the first of its kind, using cutting-edge tech to translate digital and written content into sign language - making information truly accessible for everyone. They're small, scrappy, ambitious, and working on a platform that combines AI, microservices, and cloud-native infrastructure to transform how sign language is delivered at scale. Why Join? • Zero tech debt: Build from the ground up - clean slate., • Big purpose: Your work directly improves access to information for underserved communities., • Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML - all in play., • Ownership: Shape the architecture and engineering culture from day one., • Hybrid freedom: Mostly remote, with occasional travel to meet the team. What You'll Be Doing • Build and ship new customer-facing features across both frontend and backend, • Design scalable systems and contribute to architectural decisions, • Collaborate with product and design to bring ideas to life, • Own your code end-to-end, from implementation to deployment, • Help shape engineering culture in a small, high-impact team You'll Thrive Here If You • Have 6+ years' experience as a full-stack engineer, • Are confident building both frontend (React, Nuxt, JS frameworks) and backend (FastAPI, Node.js, GraphQL, etc.) systems, • Write clean, consistent code quickly and thoughtfully, • Are comfortable moving fast and wearing many hats in an early-stage startup, • Care about inclusion and accessibility - especially for overlooked communities Our tech stack Frontend & Backend • React, Nuxt, JavaScript/TypeScript, • FastAPI, Node.js, • REST, CRUD, GraphQL, WebSockets Cloud & Infra • Azure (core platform), • Microservices architecture, • CI/CD via GitHub Actions & Azure DevOps, • Infrastructure as Code: Terraform, Bicep, Pulumi, etc. Databases & Messaging • PostgreSQL / MySQL (relational), • MongoDB, Redis (NoSQL), • Azure Fabric, Data Factory, • Azure Event Hubs, Kusto QL Tooling & Monitoring • Datadog, CircleCI, Prometheus, Grafana, • Strong focus on observability and fault tolerance Why Join? • Mission-driven: Make a meaningful impact on digital accessibility, • Equity potential if converted to permanent, • High agency and ownership in your work, • Work alongside passionate, creative problem-solvers This is a chance to build the foundations of a meaningful product - one that transforms how Deaf users access information - using modern tech and thoughtful engineering. Interested? Let's talk. CVs, videos, or sign language applications are all welcome. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

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

Cloud Security Engineer A highly reputable and market-leading financial corporation is currently hiring a Cloud Security Engineer who has recent experience in on-premises to cloud transformations within an established security team. The chosen Cloud Security Engineer will play a crucial role in the design/implementation of our client’s new technology estate. You must have demonstrable experience of security design principles & practices across cloud, storage, networking and RBCA coupled with monitoring, alerting and incident response to be considered for this position. This role is paying between £90,000 to £100,000 + 25% Bonus with hybrid working (3 day PW in office) to be based in Chatham or Wolverhampton. Our client is also open to consider candidates who require visa sponsorship on an individual basis only. Core responsibilities: • Assist with scoping, design and build of secure Azure cloud services to support the Modernisation programme and deliver a scalable and flexible cloud security capability to support and facilitate innovation for our clients new ecosystem., • Work with the Design & Delivery Lead to help define and deliver the high-level and low-level security objectives and designs for a project or programme, aligning to business and functional requirements., • Work with teams to implement secure systems and solutions through the application of regulations, policies, standards and procedures to meet user needs while managing business and security risks., • Develop, test, and deliver Security Policy as code for a variety of Public Cloud compute services and Container platforms leveraging native services., • Understand industry standard controls such as CIS/NIST/GDPR/ISO/CSA CCM/MCSB to deliver compliant solutions through appropriate adoption, configuration and management of key controls., • Deliver security work stream activities and tasks against the migration strategy and integration points for central security services to manage/monitor the cloud infrastructure., • Drive discussions and design decisions to deliver scalable and manageable cloud solutions aligned to security, performance, operational and cost constraints. Essential technical skills and experience, • Proven experience in Cloud Infrastructure Engineering/Platform Engineer/Security Engineer role, migrating and integrating cloud foundation services (preferably on MS Azure public cloud) is essential., • Proven experience with implementing secure core foundational services in a cloud infrastructure for AD, SecDevOps, Networking Services, at an enterprise level is essential., • Proven experience in SIEM & SOAR (security information and event management (SIEM) and security orchestration, automation, and response (SOAR). Experience with Rapid7 SIEM tooling is desirable., • Proven experience with the core foundational security services of cloud providers (preferably Azure or AWS equivalent for AD, Defender for Cloud, Azure Sentinel, AppGateway and APIM, Azure Identity Protection, PIM) is essential., • Proven experience with Provisioning Security policy as Code (IAC) tools such as Terraform, CloudFormation and adopting secure code practices and guidelines is essential., • Advanced understanding and use of scripting languages such as Python, Groovy, Go is essential., • Microsoft Azure Security Engineer Associate certification or AWS equivalent. Benefits Package:, • Visa sponsorship / £90 to100k / Up to 25% Bonus / Work from home options / Flexible working / 30 Days Holiday / Medical Cover / Life Cover / Pension (up to 8% employer contribution) Cloud Security Engineer

Flosum is a Salesforce-native DevOps and data protection platform serving enterprise Salesforce teams across the Fortune 5000. We are in wartime. Pipeline generation, retention, and product velocity are our three highest-priority problems, and AI is the lever that accelerates all three. We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion. This is not a "prompt engineering" role. This is a builder role. You will sit at the intersection of revenue operations, sales, marketing, and customer success, and your job is to make every human on the GTM team dramatically more productive by deploying AI systems that generate pipeline, accelerate deals, and reduce churn. You report directly to the CEO. WHAT THIS ROLE MUST DO TO CHANGE FLOSUM'S TRAJECTORY • Deploy and personally train at least one AI SDR agent within the first 30 days — focused on either inbound qualification from Qualified/Marketo or outbound prospecting via Outreach — and run weekly refinement cycles until it outperforms the bottom half of the human BDR bench., • Build an AI-powered inbound qualification system that captures, scores, and routes every website visitor and form fill in real time so no lead waits, no lead gets lost, and AEs only touch prospects that are ready to buy., • Increase revenue-generating time per AE from the current ~25% to 50%+ by automating CRM hygiene, call summarization (via Gong), follow-up sequencing, proposal drafting, and pipeline updates — eliminating every minute of admin work that doesn't directly produce revenue., • Architect the AI layer across Flosum's GTM stack (Salesforce, Marketo, Outreach, Qualified, Gong) so that data flows between systems without manual intervention, every customer touchpoint is captured, and AI agents share learnings in a virtuous loop with Salesforce as the hub., • Build and maintain an AI-driven competitive intelligence engine that monitors our competition, pricing changes, and product launches — and feeds structured insights to sales and product weekly., • Create hyper-personalized outbound campaigns at 10x current volume without proportional headcount increase — using AI to research accounts, generate personalized messaging based on ICP signals (Salesforce team size, current DevOps tooling, compliance requirements like DORA), and sequence multi-channel touches across email, LinkedIn, and phone., • Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance so that ICP targeting, messaging, and channel mix improve every week based on actual conversion data — not guesswork., • Deploy AI-assisted customer health scoring and churn prediction models that flag at-risk accounts before renewal, feeding Terry's CS team with actionable intervention triggers tied to usage data, support ticket patterns, and engagement signals., • Prototype AI-powered product-led growth touchpoints — including conversational qualification on the website, self-serve onboarding assistance, and automated nurture for trial users — supporting the PLG motion as it matures., • Evaluate, select, and deploy no more than two AI vendors per use case using a structured bakeoff methodology: reference checks via email, FDE conversations before contract, and 30-day dedicated training commitments — no lazy agency deployments. Hands-on experience deploying and training AI SDR/BDR agents in a real B2B sales environment — not evaluating, not advising, actually deploying and iterating weekly for at least 90 days. Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Marketo or equivalent MAP, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer, but you need to ship working code, not just configure no-code tools. Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to SQLs required, conversion rates by stage, and the specific AI interventions that move each number. If someone says "we need 67 SQLs per quarter at 20% win rate and $75K ASD," you should immediately know where AI can compress that funnel. Experience with AI agent orchestration — managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce). Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline, not a one-time setup. Comfort operating in a company doing ~$4M ARR with a small, high-intensity team. You will not have a large support staff. You will do the work yourself and scale through automation, not delegation. Strong opinions on when AI should replace human effort versus augment it — and the judgment to know that bad AI automation destroys deals faster than no automation at all. Familiarity with the Salesforce ecosystem — understanding of DevOps, CI/CD, data protection, and compliance workflows is a major advantage. You don't need to be a Salesforce admin, but you need to understand what our buyers care about and why Why Flosum • Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational., • Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem., • Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate., • AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next., • Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits • Competitive base salary + performance bonus, • Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement

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

About MoneyboxMoneybox is the award-winning app that helps you turn your money into something greater. We’ve brought saving, investing, home-buying, and retirement services all together into one simple app, so it’s easier than ever to achieve your goals and build wealth, whatever your starting point. Job BriefWe are looking for a Lead QA engineer to join our team, who enjoys working in a fast-paced environment. You will be working with a high calibre team to continuously develop new products/features. • This is a hands-on role and as a senior member of the QA team, you’ll help ensure the quality of Moneybox products, reporting into the Senior QA lead., • Seamlessly deliver numerous large and complex projects, acting as the sole QA on a squad, managing competing workstreams through strong prioritisation and time management., • Drive a "quality is everyone's responsibility" philosophy, influencing team members to prioritise collective success., • Collaborate with stakeholders to define testing and release strategies that effectively balance risk, speed, and quality., • Run engaging, cross-functional team meetings (e.g. amigos, retrospectives, go/no-go) that promote positive outcomes and actions., • Apply a risk-based approach to QA activities, focusing on high-value areas rather than testing for the sake of testing, leveraging AI tooling to support activities., • Identify and communicate issues, dependencies, and solutions to the squad and senior management, ensuring strong coordination and prioritisation., • Assess features for test automation suitability, collaborating with engineers on various test types and contributing to end-to-end automation., • Own QA metrics, perform root cause analysis, and champion continuous improvement in ways of working, processes, and tooling., • Proactively support team members through mentoring, coaching, and management to foster their career growth., • Be a visible leader and role model within the QA team, actively supporting departmental operations and promoting learning and sharing across the QA function., • Represent Moneybox externally in the tech community, bringing fresh new ideas back to the team., • You're enthusiastic about working in a fast-growing Fintech and dedicated to making a positive impact on personal wealth, with a strong interest in technology and QA developments., • You possess an excellent understanding of testing techniques and can effectively coach and mentor your team on their application., • You're comfortable in multi-disciplinary teams, working closely with developers, and demonstrate strong analytical, critical thinking, and problem-solving skills., • You have proven experience in designing and implementing comprehensive test plans and automation frameworks., • You exhibit strong organisational skills, meticulous attention to detail, and a pragmatic approach to bug reporting, understanding risk, impact, and dependencies., • At least 7 years of broad QA experience, with a number of years in a lead QA role, including a proven track record of mentoring and coaching., • Extensive backend system testing skills and understanding of programming languages, and API architectures., • Deep understanding of Mobile app, web, API, and database testing technologies and frameworks., • Experience with various automated testing techniques and a solid background in test data design and implementation strategies., • Proven ability to work effectively with senior leadership to build strong relationships and drive continuous improvement., • Opportunity to join a fast-growing, award-winning and super ambitious business., • Work with a friendly team of highly motivated individuals., • Be in an environment where you are listened to and can actually have an impact., • Thriving collaborative and inclusive company culture., • Competitive remuneration package., • Company shares, • Company pension scheme, • Hybrid working environment, • Home office furniture allowance, • Personal Annual Learning and Development budget, • Private Medical Insurance, • Health Cash Plan (cashback on visits to the dentist & opticians etc), • Cycle to work scheme, • Gympass subscription to a variety of gyms and wellbeing apps, • Enhanced parental pay & leave, • 25 days holiday + bank holidays with additional days added with length of service.Our Commitment to DE&I At Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. We are open-minded and always willing to go the extra mile to ensure all applicants can present their full self and potential. Visa Sponsorship:At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications. Working Policy:We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK.

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 .

CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together! Technical Account Manager As a Technical Account Manager at CreatorIQ, you'll serve as the senior technical partner for a portfolio of enterprise customers — sitting at the intersection of Customer Experience, Product, and Engineering. This is not a revenue-carrying role; there are no quotas, no upsell targets, no commission. You're here to make customers technically successful and to serve as the internal voice of their platform health. This role is critical to ensuring enterprise customer stability, technical confidence, and operational continuity across increasingly sophisticated customer environments. You'll partner closely with Customer Success Managers to ensure your accounts are fully configured, technically sound, and accelerating toward platform outcomes. Where CSMs own the relationship and business outcomes, you own the technical depth — integrations, data flows, product configuration, API health, and escalation triage. Serve as the dedicated technical point of contact for a named portfolio of enterprise accounts, alongside their assigned CSM Conduct regular technical health reviews — assessing integration health, API usage, configuration gaps, platform adoption blockers, and integration best practices that drive enterprise customer stability Lead technical customer workshops and escalation discussions as the technical lead for assigned accounts Proactively identify technical risks before they become escalations; build remediation plans and see them through Guide customers through complex platform configurations, custom reporting setups, and integration architecture for CreatorIQ's NextGen platform Translate customer business goals into technical requirements and platform configurations within CreatorIQ Own the technical success plan for each account — documenting integration specs, data flows, custom setups, and known risks Lead customers through complex technical transformations, platform changes, and operational scaling initiatives while ensuring continuity and customer confidence Partner with the Education team to identify knowledge gaps and feed them into training content and in-app guidance improvements Serve as the internal technical advocate for your accounts — escalating product gaps, bugs, and configuration issues with well-structured context and business impact framing Coordinate technical work streams across Product Support, Engineering, Product, and Implementation to ensure enterprise issues are prioritized, communicated clearly, and driven through resolution Provide customers with structured technical updates, remediation plans, risk assessments, and realistic delivery expectations during escalations Contribute to the CS-Product escalation framework by surfacing recurring technical patterns across your portfolio and translating them into actionable product feedback Partner with Implementation during complex onboarding engagements that require advanced technical scoping or platform customization Work with Product Support to ensure Tier 2/3 issues in your accounts are resolved quickly and with full context preserved Maintain accurate documentation of each account's technical configuration, integration architecture, and open technical issues in Notion and Zendesk Contribute to internal playbooks for common technical patterns, integration scenarios, and migration edge cases Track and report on technical health signals across your portfolio — flagging accounts that are technically at-risk before churn signals surface in the CSM layer 4–7 years in a Technical Account Manager, Solutions Engineer, Technical CSM, or Senior Support Engineer role within a SaaS company Experience owning technical relationships with enterprise-tier accounts — not transactional; strategic, named accounts Demonstrated ability to work across APIs, integrations, data pipeline concepts, and SaaS platform configuration without needing Engineering to hand-hold every step Familiarity with influencer marketing, creator economy, or social media data platforms is a strong plus — but coachable domain knowledge is acceptable Bilingual in technical and business: you can explain an API authentication failure to an engineer and a workflow misconfiguration to a CMO in the same day Strong project management instincts — you track open items, set realistic timelines, and close loops without being asked twice You write well and document thoroughly — your Notion pages, Zendesk notes, and escalation briefs are clear enough that a CSM can act on them without a Slack follow-up Calm under escalation pressure; you de-escalate with data and a plan, not reassurances Comfortable working autonomously in a remote environment while staying tightly coordinated with CSMs, Product Support, and Engineering Curious about AI, automation, and how technical tooling can make customer teams more efficient Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. Have 50% of the criteria? Excited about this opportunity? Passionate about what we do at CreatorIQ? Please apply! CreatorIQ is a place where everyone can grow. People: work with talented, collaborative, and friendly people who love what they do. Guidance: utilize our learning platform to fully get the training and tools you’ll need to become successful here from your first day with us. Work/life harmony: 25 days vacation, floating and set holidays, wellness allowance, and paid parental leave. Stock options as part of our equity-sharing program. Healthcare coverage, encompassing mental health, physical therapies, dental, vision, cancer coverage, and more. Comprehensive perks program providing stipends for wellness, cell phone and internet, home office setup, mental wellness, professional development, plus occasional company-funded meal opportunities throughout the year. CreatorIQ is the operating system for creator-led growth. Trusted by more than 1,300 global brands and agencies—including Burson, Delta Air Lines, Google, LVMH, Nestlé, and Sephora—CreatorIQ unifies creator marketing across paid, owned, earned, commerce, and community into one seamless, enterprise-grade ecosystem. With industry-leading intelligence infrastructure, rigorous compliance and security standards, and integrations with Meta, Snapchat, TikTok, YouTube, and more, CreatorIQ empowers brands and agencies to harness the creator economy as a strategic growth engine. CreatorIQ is a global company headquartered in Los Angeles with offices in Austin, New York, San Francisco, London, Manila, and Warsaw. Learn more at and follow us on and. At CreatorIQ, we believe that diversity is the key to unlocking our full potential. We are committed to fostering an inclusive, equitable, and empowering work environment where everyone can thrive, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or any other characteristic that makes us unique. By embracing our core values of being intentional, pursuing excellence every day, embracing the journey together, being a good human, and staying focused on what’s important, we create an atmosphere that promotes collaboration and growth. Join us to celebrate differences, innovate together, and be a part of a business that is disrupting the marketing industry. We understand that a comprehensive benefits package plays a significant role in your overall compensation. To gain more insight into the various components of our total compensation, _. AI Transparency Notice We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications and note taking during interviews. 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 refer to our _.

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

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

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. This is a role for someone who wants to define what gets built, not just how it looks. You'll own product vision in 0-to-1 spaces, working at the frontier of what Poolside should build next, translating ambiguous problems into clear product direction, and prototyping fast to validate ideas before they become roadmap. You'll work closely with engineering and leadership, partnering tightly with our product design team to shape experiences that sit at the intersection of frontier AI and developer tooling. The problems here are genuinely hard and the surface area is wide. One day you're digging deep to understand how developers experience a new agentic workflow; the next you're building a proof-of-concept that changes the direction of a product. Your taste and judgment will be visible in what ships. YOUR MISSION To forge the product direction for Poolside's developer experience, defining what we build at the frontier of AI and software development. Own product vision in 0-to-1 spaces, defining what Poolside should build and translating ambiguous problems into clear, buildable direction. Lead design, experimentation, and proof-of-concepts that explore what's next for developer tools, feeding insight back into the product roadmap. Partner with Product Engineering to move ideas from concept to shipped product, working at both the strategic and the granular level. Prototype rapidly and validate early; you're as comfortable in code as you are in a design tool. Collaborate with designers and the wider design team to ensure product thinking is consistent and well-resourced across Poolside's surfaces. Shape how Poolside shows up externally as a product, including how developers first encounter our work. Strong product intuition with a history of defining what to build, not just how to build it. You've forged direction, not just executed on it. A genuine history of building with code: scripts, tools, personal projects shipped from scratch. You can speak concretely to what you built and why. Genuine familiarity with developer workflows. Version control, local environments, the command line, deployment pipelines. Not as a curiosity, but as your natural habitat. Deep experience designing for developer tools specifically, not general consumer or enterprise products. Strong visual craft. You produce polished, high-quality UI and can hold a high bar across the full product experience. Comfortable with rapid prototyping, research, and proof-of-concepts. You move fast and validate early. Highly autonomous: you set your own direction, bring others along on your thinking, and make good decisions in ambiguity. Intro call with one of our Designers Design interview with a Design Engineer (Product). Come with 1–2 projects you forged, not just executed Technical interview with a Product Engineer. Expect questions on how you build and think about developer workflows Team fit call with the People team Final interview Fully remote work & flexible hours 37 days/year of vacation & holidays Health insurance allowance for you & dependents 16 weeks of flexible, full-pay parental leave Well-being, always-be-learning & home office allowances Company-provided equipment Frequent team get togethers Diverse & inclusive people-first culture

Location: Remote Salary: £70,000 - £80,000 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 7,000 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 dynamic Senior DevOps Engineer to join our Engineering team and help us improve the resilience and performance of the Arbor platform, enabling the business to rapidly scale. The remit and focus of the role is to continuously fix and improve our architecture, infrastructure, and ways of working. This requires an obsessive, metrics-driven approach, a curiosity about system behaviour, and close collaboration with the solution architect and engineering teams. It’s a broad and exciting role, so we’re looking for someone up for a challenge - if you’re a collaborative and curious Engineer, this is the role for you. Core responsibilities • Work with Head of Platform and Head of SRE to identify improvements within the platform infrastructure and implement plans to address, • Work with the Platform teams to improve the maturity of all components within the system, including ensuring High Availability, and adequate testing and DR plans, • Contribute to improving our CI/CD pipelines and providing patterns of deployment, • Assist in incident response and resolution, and subsequent post-mortems and retrospectives, • Participate in tech-talks and team based learning to ensure knowledge is spread, • Document obsessively, relying on Playbooks/Runbooks and systems documentation to aid knowledge transfer, • Extensive experience of DevOps Engineering and operating a large scale platform, • Extensive experience of distributed cloud systems, and specifically Amazon Web Services, • Extensive experience of Infrastructure as Code tooling, such as Terraform, Ansible, Cloudformation etc, • Understanding of relational database technologies and their cloud versions (e.g. AWS Aurora), • Experience with messaging and distributed asynchronous workloads, • Experience with nginx or similar technologies, • Experience with DataDog, Prometheus or similar tools, • A positive and proactive attitude to problem solving, • A team player, willing to muck in and help others when needed, driven personality who asks questions and actively participates in discussions, • Good written and spoken English so you can present your ideas Bonus skills • Past experience with enterprise solutions running at scale, • Familiarity with kanban and agile development processes, • Experience with Docker and containerisation, • Familiarity with software best practices such as Refactoring, Clean Code, Domain-Driven Design, Test-Driven Development, etc. 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.

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.

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

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.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 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. Find our AI notice here: https://lifeatspotify.com/ai-notice

Did you know that some cat food contains as little as 4% meat? Cats are carnivores – they need meat to thrive – but cat food companies use powdered animal derivatives because it’s cheaper and easier, and they top it up with grains and fillers that cats find hard to digest. It’s all about shelf life and profit; not what cats really need. We do things differently at KatKin. We’re changing the cat food industry, with our 100% Fresh-cooked premium meat recipes, delivered to doorsteps everywhere. Each recipe is designed by our in-house vets and nutritionists, to be the very best (and tastiest) nutrition for cats. KatKin is building a global challenger brand in cat health and wellbeing, going after a $50B global market. Beyond the core product of Fresh food for cats, KatKin’s vision is to build a set of products and services for Cat Parents to manage their cat’s health. Everything from litter and treats, to digital health management for your cat. Today, KatKin is a UK D2C business that recently expanded into Retail and is planning to launch international markets, likely the US, from 2025 onwards. Millions of cat parents engage with KatKin every month, and as a Full-Stack Engineer at KatKin, you’ll work alongside our Engineering team in bringing our hardcore cat parent’s digital journey to life. You will work closely with our Director of Engineering, Product, Design, Data, and the rest of the Engineering team to help meet the day-to-day and long-term ambitions of KatKin and its customers. You will own and create the components and technology necessary to provide a best-in-class experience for cat parents whenever they visit our website or use our subscription service. We are a close-knit, focused team who are committed to consistently delivering high quality technology, on time, as part of a tech-driven mindset that lets us focus on building the right solutions for scaling our business into the future. Our current tech stack makes heavy use of TypeScript, particularly NextJS on the frontend, NestJS microservices on the backend with Prisma, and various other technologies and tools like Postgresql and RabbitMQ. This role will work from our London office in Farringdon 3 days a week. Delivering functionality across the entire stack, in line with our software requirements Evaluating and implementing new technologies to scale and streamline our software pipelines Working closely with our product team & stakeholders to build scalable, fit-for-purpose solutions for serving our customers Shared responsibility for the maintenance and quality of codebases and infrastructure Good familiarity with RESTful web services. Excellent understanding of TypeScript, React and Node. Mission-driven, high energy and a natural sense of curiosity and urgency for results. A genuine passion for technology and KatKin’s mission. Experience working in a fast paced environment, taking ownership of features end to end, and balancing between velocity and technical quality. Experience within eCommerce and/or payments Good understanding of OOP and/or functional paradigms. Good understanding of NextJS or other similar server-focused frontend metaframework. Bonus points for having used React’s server components API. Familiarity with CI/CD pipelines and tools, particularly Github Actions Experience using or deploying into AWS and/or Kubernetes, using IaC tools such as Terraform or CDK Experience working with monorepos and tooling such as NX/Lerna/Bazel. Experience with Cypress/Playwright/any test automation tools and processes Familiarity or interest with observability and metrics tooling. You have a cat, or two or three! Competitive salary in the range of £55,000 - £75,000 Career-defining opportunity in being instrumental to scaling our brand, fast No egos and a small close-knit team 25 days of holiday every year plus your birthday off and an additional day for every year at KatKin 4 week WFA (work from anywhere) policy Hybrid working, up to 2 days WFH every week 12-weeks paternity / maternity leave Discount on KatKin fresh food and pantry products for your cat, and £500 for new cat parents Comprehensive AXA health insurance including optical and dental £800 yearly personal development budget Macbook Pro Company pension Regular company socials and lunch provided on Mondays All the fresh fruit, soft drinks, tea and coffee you can eat and drink; great banter and a cat (and dog) friendly office

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

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

Role: Senior DevOps Engineer Salary: £95,000 + 5% Bonus Location: Bristol (Ideally 1 day a month but flexible) Overview A leading international law firm is seeking a Solutions DevOps Engineer to support the deployment of AI and LLM-powered tools. You'll work closely with engineering, infrastructure, and product teams to automate deployments, drive cloud efficiency, and ensure secure, scalable delivery of next-gen legal tech. Key Responsibilities Deploy enterprise-grade AI apps using infrastructure as code Automate development, testing, and release pipelines Collaborate with developers and stakeholders to deliver scalable solutions Act as technical lead on internal and vendor-led projects Provide Level 3 support and resolve production incidents Integrate the latest NLP/LLM advancements into real-world tools Ensure systems meet security, performance, and compliance standards Contribute to continuous improvement and strategic planning Ideal Candidate 5+ years in infrastructure, 3+ in DevOps (Azure-focused) Skilled in Microsoft Azure, incl. networking and security Proficient in Python and familiar with ML/AI frameworks Strong communicator with a practical, problem-solving mindset Collaborative, quality-focused, and committed to continuous learning Comfortable with occasional out-of-hours work or travel Tech Stack / Tools Microsoft Azure Azure Document Intelligence Azure Networking & Security Infrastructure as Code (Terraform, ARM) Python ML frameworks (e.g., Hugging Face, OpenAI) CI/CD pipelines DevOps automation tooling