2554 jobs found

Compensation Range This role offers a location-based annual salary of £70,000-£80,000 for candidates based in London and £65,000-£75,000 for candidates based outside of London. The salary range reflects the base pay for this role at Altus Group and is provided where required by local regulations. Actual offers may differ based on experience, market conditions, and other relevant factors. The range does not include additional compensation such as bonuses, equity, benefits, or other incentives. Who we need Reporting to the Senior Manager, Information Security, we are hiring a Senior Security Specialist to join our Security Engineering team. This fully remote role is open to candidates based in the UK, Germany, France, or Luxembourg and will work as part of a geographically distributed security engineering team spanning the UK and Canada. Responsibilities Advance the company's security engineering roadmap, improving detection and response capabilities and evolving security technologies across cloud, infrastructure, and platforms. Lead offensive security initiatives, including threat hunting activities, maturation of the purple team program, adversary emulation, and support for complex incident investigations. Mentor and guide Security Operations analysts, enhancing detection, response, and overall security posture. Drive innovation and continuous improvement, shaping the future of security at Altus Group through contributions to the AI security roadmap, evaluation of emerging technologies, and introduction of new ideas. Identify opportunities to improve detection, automate processes, mature security technologies, and strengthen the overall security posture across a wide spectrum of modern cybersecurity disciplines. Work cross functionally with Security Operations, Engineering, and leadership teams to influence the security roadmap and foster a high trust, high performance culture. Qualifications Proven experience across security engineering and security operations, solving complex technical challenges and strengthening security capabilities. Deep understanding of enterprise infrastructure fundamentals-including networking, operating systems, DNS, firewalls, and cloud environments. Hands on experience securing cloud environments (Azure, Entra ID, AWS, SaaS platforms) and implementing continuously improved security controls. Experience with threat hunting, incident response, adversary emulation, detection engineering, and cyber threat intelligence, including proficiency with MITRE ATT&CK frameworks. Ownership mindset: ability to define priorities, solve problems independently, and take initiative in a high autonomy environment. Strong communication skills, able to articulate technical concepts to technical and non technical stakeholders, mentor others, and collaborate across functions. Commitment to continual learning, staying current with new technologies, evolving threats, and emerging security practices. Benefits Competitive compensation, incentive and bonus plans, and a total rewards package prioritising mental, physical, and financial well being. Extensive professional learning opportunities through Altus Intelligence Academy, offering over 150,000 hours of learning content. Flexible activity based work model that aligns work location with your needs, allowing collaboration in office or focused tasks remote. Inclusive and accessible work environment that fosters diversity, equity, and inclusion. Other Information Use of Artificial Intelligence: AI tools may be used to support the initial stages of screening for this role; however, all assessments and final hiring decisions are reviewed and made by an Altus Group hiring professional. Background Checks: Altus Group may conduct background checks on candidates who receive a conditional offer. These checks may include, but are not limited to, verification of employment history, education credentials, criminal records, credit history, and reference checks, conducted in compliance with local laws and regulations. Equal Opportunity Statement Altus Group is an equal opportunity employer committed to fostering an inclusive and accessible work environment and does not discriminate on the basis of any legally protected status or characteristic. Altus reasonably accommodates people with disabilities throughout the recruitment and selection process. Applicants are encouraged to make their needs known in advance if accommodation is required by contacting us at or .

Zeti is an award-winning technology company building ZetiOS, a proprietary operating system for hard assets across transportation, energy and construction. ZetiOS combines real-time asset data with the financial contracts that govern how those assets are funded and operated - enabling utilization-based finance, asset-level three-statement modeling and live ESG reporting that static, data-blind platforms simply cannot match. Our mission is to accelerate smarter asset-backed finance, and through it, the energy transition. We serve four types of organization: Institutional lenders and funders - such as Paragon Bank - deploying capital across hire purchase, finance lease, PPAs and pay-per-use structures Asset operators across EV fleets, hydrogen infrastructure and renewable generation who need flexible financing and real-time operational insight Suppliers and manufacturers seeking asset intelligence and embedded finance capabilities Public program administrators - such as CALSTART and the Lighter than Aire consortium - who need to monitor assets in order to perform automated regulatory reporting and to visualize geospatial data Alongside ZetiOS, a specialist professional services team connects capital with operators and navigates the complexity of each client's market. Founded in 2020 after incubation at Octopus Investments, Zeti has graduated from the Accenture FinTech Innovation Lab, won the Visa Everywhere Initiative (Europe), and raised capital from Powerhouse, Toyota Ventures and HYCAP. ZetiOS manages approximately £30m of deployed assets, has helped operators avoid over 15,000 tonnes of CO , and has a pipeline exceeding £400m across the UK, US and Central Europe. We're now entering a critical next phase of growth, and are looking for a Senior Engineer to lead the delivery of our priority projects. Role overview Reporting into the CTO, you as a Senior Engineer will lead the delivery and maintenance of key elements of ZetiOS. You will drive our quality standards and deliver best-in-class functionality across our full tech stack, including C# on Azure Functions, Azure Cosmos DB, and React with TypeScript and Material UI. You'll be expected to thrive under pressure and be comfortable taking responsibility for the execution of major customer requirements. You'll also be a lighthouse of AI adoption within our team and constantly exploit new tools and technologies for maximum productivity. Day-to-day activities Write, test, and maintain clean, efficient, and reliable code in C# for Azure Functions and in React with TypeScript and Material UI for the frontend. Utilize Azure Cosmos DB to design and manage efficient data models. Work closely with product managers and other developers to understand requirements and deliver features. Troubleshoot and resolve complex technical issues, ensuring minimal disruption. Improve upon existing DevOps pipelines and build new ones (using GitHub Actions). Advocate for and implement best practices in coding, testing, and code reviews to uphold high standards of quality. Leverage AI-assisted development tools (such as Claude Code, GitHub Copilot, or Codex) to accelerate delivery, improve code quality, and streamline routine development tasks. Stay current with industry trends and emerging technologies, recommending improvements to our tech stack and development processes. What we're looking for: Proven track record as a Senior Engineer with a minimum of five years of professional software development experience, leaning towards back-end. We require a strong background in C# and Azure Functions, coupled with proven experience in building modern web applications using React, TypeScript, and HTML/CSS. We're looking for someone with: Proficiency in C# and ideally good experience with Azure Functions (or some experience in AF with deeper experience of AWS Lambda) Expertise in front-end development using React, TypeScript, and HTML & CSS. Material UI experience is useful Strong experience with Azure Cosmos DB or similar NoSQL databases Demonstrable understanding of how to build and maintain DevOps pipelines Experience working in the asset finance and/or management space, or in an adjacent sector Proven experience with AI-assisted software development tools such as Claude Code, GitHub Copilot, or similar (e.g. Codex, Cursor). We expect engineers to leverage AI tooling effectively as part of their daily workflow Solid understanding of modern software development practices, methodologies, and system architecture Excellent problem-solving skills and the ability to think critically Strong communication and interpersonal skills Proven ability to work effectively in a collaborative, fast-paced environment. Details: Salary: £80,000-100,000 per annum + EMI share options Location: We're based in FORA Albert House in Shoreditch. We work together in a private office there three days per week, with two days of remote work. 25 days of annual leave (excluding UK bank holidays) Half-yearly company summits, featuring social activities Free access to lounges, co-working spaces, bike storage and gyms at over 60+ FORA sites in UK & Europe, including at our Albert House office Free drinks and snacks at the office Diversity & Inclusion: Zeti is an equal opportunity employer, and both welcomes and demonstrates diversity.

Senior ML Ops Engineer Department: Platform Delivery Employment Type: Permanent - Full Time Location: London Description In this role you will work in the Platform team - a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business. Key Responsibilities Continuously evolve the platform infrastructure powering all AI services (predictive modelling, NLP, knowledge representation, and agentic AI), ensuring reliable, scalable operation across a growing base of local authority clients. Deploy and manage ML models via Azure ML endpoints, batch endpoints, and AKS, enabling resilient, secure model hosting that accelerates client onboarding and ensures models remain performant and monitorable throughout their lifecycle. Ensure all ML systems are transparent, explainable, and auditable, aligned with Responsible AI principles and UK GDPR; essential where AI outputs inform decisions about vulnerable people in health and social care. Design, build, and maintain production grade orchestration pipelines (Dagster) supporting model training, inference, and retraining, ensuring data from local authority systems is timely, accurate, and fit for purpose before it reaches ML services. Contribute to organisation wide AI capability building, sharing best practice with delivery and consulting teams, advising on technical feasibility, and shaping governance standards as the AI function scales. What are we looking for? We'd love to hear from you if you have: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. 4+ years of professional experience in an MLOps, Platform Engineering, or Infrastructure Engineering role supporting ML or data intensive systems. Strong programming skills and production experience in Python. Expertise in Azure native MLOps, including model endpoints, pipelines, registries, environments, and compute management. Clear evidence of practical experience across the following: Deploying, scaling, and troubleshooting containerised workload on Kubernetes in production Building and maintaining CI/CD pipelines (Azure DevOps or equivalent) for automated testing, building, and deployment of ML services Implementing infrastructure as code (Terraform, Bicep or Pulumi) Implementing monitoring and observability for production systems, including metrics, alerting, logging, and dashboarding (e.g. Prometheus, Grafana) Pipeline orchestration using Dagster, Airflow, Prefect, or similar Bonus points if you have: Practical experience with model serving infrastructure - batch and/or real time inference at scale. Experience operating multi tenant systems, particularly scaling infrastructure across multiple clients or business units. Practical experience building and serving production ready, asynchronous APIs for embedding and/or other compute intensive services. Experience setting up, and optimising vector databases, e.g. Qdrant, and integrating with other services Proficiency in Python for building high performance data and model pipelines, with strong software engineering discipline (testing, versioning, CI/CD). Deep familiarity with the Azure ecosystem (Azure Kubernetes Service, Azure Container Registry, Azure DevOps, Azure Blob Storage, Azure Monitor, Azure Key Vault). Location - This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually Work for a passionate, mission driven company solving society's big problems Work flexible hours around life commitments with a focus on delivering company value rather than hours worked Ability to work remotely (excluding face to face Team Meetings and client meetings) Training and development opportunities 25 days annual leave (plus bank holidays) Company pension Private medical insuranceGenerous enhanced parental leave policies Cycle to work scheme Flu Vaccinations Eye Test and contribution towards Glasses for VDU use Employee Assistance Programme Mental health and wellbeing support Remote GP access Counselling/therapy Physiotherapy Medical second opinions

The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi billion dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top tier VC investors to scale the team. We're hiring hyper talented people who want to work at the forefront of AI and revolutionise an industry. At a glance Role: Senior AI Engineer Location: London, UK (Hybrid, in person 4 days per week) Team: Engineering Compensation: Top of market. Competitive base + OTE The role Take what you already know about AI systems, or about building at the frontier, into a category-defining company. A fast track to owning the infrastructure that powers decisions at the world's largest PE firms. You'll design and ship the core AI capabilities that sit at the heart of our platform, working directly alongside our founding engineers and CTO. Whether you've built production LLM systems, designed agentic architectures, or pushed the limits of RAG and reasoning chains, you bring depth most engineers don't have, and the job is to point that depth at problems the industry has never had good tooling for. This isn't a place to maintain someone else's codebase. We hire engineers who want to own things end-to-end from day one, and we give responsibility based on impact, not seniority. Strong execution is the fast track to shaping the technical direction of a high growth AI company, building alongside a founding team that will back your best ideas. The opportunity Build the agent's brain. Design and ship features that give our AI genuine investment expertise, the kind that makes analysts faster and makes partners take notice. Push the architecture forward. Prompts, reasoning chains, agent design. You own the quality and reliability of what the model produces, not just the code that runs it. Stay at the frontier. Evaluate new models, techniques, and research as they drop. When something better exists, you're the one who brings it in. Expand what the agent can see. Integrate new data sources into the loop and increase the depth and breadth of analysis the platform can perform. Keep the codebase clean. Uphold rigorous standards across everything you ship. Tech debt is a tax on velocity, and you don't let it accumulate. Recent projects include Agentic assistant with a finance-focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In house, streaming first agent framework AI-assisted document editor Track record Engineering depth, not just exposure. Four or more years building production software, with meaningful time spent on AI/ML systems at a venture backed startup or top tech firm -not as a side project, as the core of the work. You've shipped things that mattered. Entire features or products taken from ideation to production, with impact you can speak to. If you can't point to what changed because of your work, that's a flag. The right technical toolkit. Strong Python, hands on experience with LLMs (OpenAI, Anthropic, open source), agent frameworks, RAG pipelines, vector databases, and backend infrastructure like FastAPI, Postgres, and ElasticSearch, or close enough that the gaps close fast. Domain curiosity, not just technical ability. You go deep on the problem, not just the implementation. You care about what the product does for the person using it, and that shows in how you build. Comfortable at pace. Fast-moving environments are where you do your best work, not something you tolerate. How you operate Low ego, high ownership. You want to be part of building something that matters more than you want a title that says so. Hungry and resilient. Start up pace is the appeal, not the trade off. Rejection doesn't slow you down. Bias for action over planning theatre. You move with incomplete information and adjust as you go. Genuinely curious about AI. Using it, breaking it, building it into how you work. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI 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.

Job Description Summary Become part of a winning team and help to deliver the Green Energy transition. As a Principal Engineer - HVDC Control System, Platform & Tools, you'll play a pivotal role in shaping the future of energy transmission. This senior position sits at the heart of GE Vernova's innovation engine, driving next generation R&D and new product introduction (NPI) across embedded systems, software platforms, and industrial automation technologies. You'll lead complex, high impact engineering initiatives, mentor technical talent, and represent the business to senior stakeholders, research institutions, and industry bodies. This is a unique opportunity for a technical expert within industrial automation and control tools to develop their skills and career in the direction of HVDC control systems to influence the technical direction of HVDC systems and contribute to the global energy transformation. You will bring technical authority, strategic guidance, and cross functional collaboration through major and complex assignments with long term business impact, making you a key figure in delivering cutting edge solutions that will power a more sustainable future. Main Responsibilities Technical Leadership Support Consulting Engineers in business line technology strategy definition and Multi Generational Product Plan (MGPP). Chair Design reviews for individual components, subassemblies and key engineering deliverables at tendering and contract execution stages. Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase. Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed. Participate in Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company. Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc.) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperation. Provide ad hoc technical guidance to the Engineering/Technology leadership team as required, e.g., joining customer negotiations or supplier audits. Act as technical authority to the NPI development teams of Embedded software, IEC 61850 PC based applications, Full stack web applications and Network & Cyber architecture team. Provide key technical inputs/guidance to the NPI development teams to generate the specification, design, architecture, test and user guide documentation. Develop Design practices and Design guides for the NPI product development activities. Generate Design FMEAs and actively take part in RCA/5 Why/8 D activities as part of NPI development. Guide and mentor the teams on relevant technical topics. Technical stakeholder management with ITO, OTR and Technology departments. Lead/Chair the design reviews on NPI development topics. Prepare training material and impart training to HVDC organisation. Participate in inter discipline design reviews within HVDC Engineering/Technology Practices. Support Consulting Engineers to safeguard design qualities. Organise lessons learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes. Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs. Provide technical consultation to cross functional teams within the business to improve or resolve manufacturing, supply, or field issues. Competency Governance Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines. Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line. People Development Actively support Consulting Engineers with staff development & succession planning. Participate in interviews for promotions or hirings within Engineering / Technology up to the level of Senior Engineer. Actively mentor and coach identified high potential Engineering talents within one's business lines. Qualifications & Requirements Bachelor of Science in Engineering, Physics, Chemistry, Mathematics, or Computer Science. At least 10 years of hands on experience in embedded software / desktop applications / full stack web applications / communication system / cybersecurity constructs. Expert knowledge of software development processes including Agile development methodology. Technical lead for multiple small or a medium to large NPI development program. Strong understanding of Operating system concepts, either Real time operating system (VxWorks, RT Linux, QNX) or desktop operating systems (Linux, Unix, Windows). Working knowledge of industrial protocols, for example IEC 61850 (GOOSE, SV & MMS)/IEC 104/DNP3/Modbus. Very good appreciation of ISO OSI model and its layers. Expert knowledge on operation of General purpose processors/Digital signal processors (DSP)/FPGAs/SOCs. Sound knowledge of the Computing technologies and backplanes (for e.g. PCIe, VPX, SOSA). Good understanding of Network & Cyber architectures of any Industrial Automation Control System. Desired Characteristics & Qualifications Strong interpersonal, communication and leadership skills. Problem analysis and resolution skills. Able to pursue Engineering integrity in adverse conditions. Able to interface effectively with most levels of the organization. Lean experience preferred. Knowledge of HVDC converter operation theory and associated Power electronics operations. Knowledge of HVDC power systems operations and Control & Protection operation theory will be useful. Development experience on Matlab/Simulink environment. Hands on experience in using/developing IEC 61850 SCT/ICT to configure substation automation system Design and development of IEC 61850 data models. Appreciation of IEC 62443 standard for cybersecurity aspects in any Industrial Automation Control System. What we offer A key role in a dynamic, international working environment with a large degree of flexibility of work agreements. Competitive benefits, including private health insurance, car allowance, bonus, flexible benefits, and relocation / visa support if appropriate. About GE Grid Solutions At GE Grid Solutions we are electrifying the world with advanced grid technologies. Our goal is to accelerate the transition for a more energy efficient grid. With a focus on growth and sustainability, we play a pivotal role in integrating Renewables onto the grid to drive carbon neutrality. We help enable the transition for a greener, more reliable grid. Our portfolio is the most advanced and comprehensive within the energy sector. We look for engineers who are ready to tackle challenging projects and bring innovative solutions to drive the energy transition.

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch reliability and observability for our most critical platforms. As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of reliability, observability, and performance challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction on site reliability practices to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code for reliability tooling and telemetry pipelines, and reviews and debugs code written by others Drives decisions that influence reliability design, observability architecture, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of site reliability, observability, or telemetry engineering Leads resiliency design reviews and breaks up complex reliability problems into digestible work for other engineers, acting as a technical lead for large-sized products Acts as the main point of contact during major incidents, demonstrating the skills to identify and solve issues quickly to avoid financial losses, and champions blameless postmortem culture Collaborates with team members and stakeholders to define comprehensive service level indicators, service level objectives, and error budgets Designs, implements, and maintains operational reliability for large-scale OpenTelemetry pipelines on hybrid on-prem/cloud environments, supporting telemetry ingestion, processing, and export to backends such as InfluxDB, Prometheus, Elasticsearch, and OpenSearch Drives the assessment, refactoring, and incremental migration of custom legacy telemetry collection code to standardized OpenTelemetry instrumentation, reducing technical debt while maintaining system stability Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices, and influences peers and project decision-makers to consider the use and application of leading-edge observability and reliability technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience delivering system design, application development, testing, and operational stability Advanced knowledge of reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices, with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.) Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.) Advanced proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, Elasticsearch, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) Hands on experience with the design, deployment, and operation of OpenTelemetry collectors in production environments, focusing on technical aspects such as configuring, optimizing, and troubleshooting OTLP endpoints and receivers Ability to tackle reliability design and functionality problems independently with little to no oversight Practical cloud native experience Ability to expand and collaborate across different levels and stakeholder groups Preferred qualifications, capabilities, and skills Knowledge of distributed tracing, metrics, and logging best practices Certification in AWS, Kubernetes, or relevant technologies Proven track record in system health monitoring, capacity management, and blameless postmortems for high-availability services Deep understanding of distributed system design principles, networking (TCP/IP, DNS, load balancing), and Linux internals Contributions to open-source observability or telemetry projects Experience working with agent control planes and management protocols; hands on knowledge of OpAMP is highly desirable

Are you ready to shape the future of technology at a global financial leader? Join us and make a real impact by building advanced cloud platforms that power data-driven decision making. At JPMorganChase, you'll collaborate with top talent, leverage cutting-edge tools, and help deliver solutions that transform how we work. This is your chance to push boundaries, grow your expertise, and be part of a team that values innovation and continuous learning. Discover a career adventure where your ideas matter and your skills drive change. As a Senior Lead Software Engineer, Cloud Platform in the Corporate AI and Machine Learning Data Platforms team, you will design and deliver secure, high-quality technology solutions that support our data and analytics strategy. You will develop cloud-based products, enhance productivity, and enable responsible innovation across the firm. You'll collaborate with others to harness the power of artificial intelligence and machine learning, creating new opportunities and driving business success. You will have the chance to lead, grow, and make a difference in a dynamic, inclusive environment. Job Responsibilities: Provide technical leadership and guidance to the cloud engineering team. Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools. Drive adoption of modern Developer Experience (DevEx) practices and evolve CI/CD and developer tooling. Align platform strategy and roadmaps with business priorities and lead cross-functional modernization initiatives. Evaluate, integrate, and govern strategic tooling to improve developer experience. Collaborate with development teams to identify and eliminate platform bottlenecks. Define and promote paved paths and self-service workflows for developers. Implement real-time telemetry pipelines and workflows for platform observability and analytics. Champion adoption of productivity tools through documentation, training, and engagement with the developer community. Standardize use of AI-assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.). Expertise in Developer Experience (DevEx) and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.). Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes. Programming skills in Golang or Python, with understanding of software development best practices. Proficiency with cloud infrastructure provisioning tools (Terraform, KRO, Crossplane, etc.). Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.). Deep understanding of cloud infrastructure design, architecture, and migration strategies. Proficiency with AI-assisted coding workflows, including LLM-powered development tools, spec-driven development, and prompt engineering. Preferred Qualifications, Capabilities, and Skills: Master's degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code technologies. Experience implementing multi-cloud architectures and leading end-to-end platform development. Background in designing and developing scalable AI/ML or Data platforms. Experience with automation and workflow orchestration for operational efficiency.Published contributions to open-source or industry-recognized projects. Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI-powered coding ecosystems with enterprise-specific tooling to improve developer productivity and platform engineering workflows.

About EDITED About EDITEDEDITED is the world's leading AI-driven retail intelligence platform. We empower the world's most successful brands and retailers with real-time decision making power. By connecting internal business and external market data, EDITED infuses intelligence into every retail decision. We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation. At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do. Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow. We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyone's voice is heard and contributions are recognised. We believe that achieving a positive work-life balance is key to driving innovation and success. Our flexible working options- including hybrid working, flexible hours and a work from anywhere policy- empower our team to perform at their best. Opportunity You'd be joining a small engineering team with a large surface area. That means variety, visible impact, and no waiting for permission to fix something. You'll be building the platform the world's biggest brands and retailers use to make decisions every day. A large part of that is now AI. Our AI chatbot is live with customers, and there's plenty left to build - new agents, new tooling, new MCP integrations. You'll also help evolve the infrastructure that processes retail data at a serious scale. It's a rare mix: mature systems with real users, and genuinely new ground to break. What You'll Be Doing Collaborate with cross-functional teams, including Product Managers, Data Scientists, Retail Analysts and Customer Success, to understand business requirements, identify problems, and develop innovative solutions. Build our AI chatbot, along with the agents, tooling and MCP integrations behind it - used both internally and by customers. Lead by example on how we build with AI, while raising the bar on code quality, testing and observability through review and mentoring. Scale and adapt our large-scale retail data infrastructure, spanning AWS and bare metal, as the demands of AI-driven products reshape our technical architecture. Own what you build end to end, from scoping the problem through to deploying, monitoring and iterating on it in production. What We're Looking For In A Backend Engineer It's important for us to look for candidates that strive for excellence with a positive attitude, a strong sense of ownership and work ethic, and a passion to consistently develop and improve their knowledge and skillset. Essential 5+ years of experience in back-end engineering roles, with a track record of delivering complex projects and demonstrating technical leadership in a senior position. Proven ability to take ownership of projects, drive results, and mentor team members to achieve success. Proficiency in Python and fluent in some nix flavour. Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders. Strong understanding of data management, APIs, and infrastructure, with the ability to architect scalable solutions. Ability to adapt and learn new technologies quickly, with a passion for ensuring your code is maintainable, driven by a hands-on curiosity about AI. Desirable Hands-on experience building with LLMs - agents, RAG, evals and tooling such as MCP. An active interest in DevOps and Machine Learning. Experience with frameworks like Django, Flask or FastAPI, Elasticsearch or similar NoSQL technologies, and relational databases. Experience with large-scale data processing, including self-hosted or bare-metal environments. What We Offer You Enhanced parental leave policy 25 days annual leave + public holidays (and an extra day for every year at EDITED) Simply Health Cash App for everyday health treatments and access to virtual health services Season Ticket Loan & Cycle to Work schemes Access to an Employee Assistance Programme Gifts for work anniversaries and big life events Dog friendly office We are set up to work remotely and utilise a hybrid approach within our London office Find out more about working at EDITED here: We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top-tier VC investors to scale the team. We're hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry. At a Glance Role: Senior Platform Engineer Location: London, UK (Hybrid, in-person 4 days per week) Team: Platform & Security Compensation: Top of market. Competitive base + ESOP The role Own the infrastructure that an AI platform for the world's leading PE firms runs on. You'll join the Platform & Security team and take responsibility for our Kubernetes estate, multi-cloud footprint (Azure primary, plus AWS and GCP), Istio service mesh, Terraform-managed infrastructure, and LGTM observability stack, and for making all of it secure by default. Our customers trust us with their most sensitive data, so security is built into every layer of the platform. You'll also shape how our engineers ship: the paved roads, CI/CD pipelines, and guardrails that let a fast-moving product team deploy confidently without thinking about the infrastructure underneath. The opportunity Ownership: You'll own the platform end to end. You'll make the architecture calls, ship them, and operate them. Foundations: We're at the Series A inflection point. The platform decisions you make now will carry the company through the next 10x. Growth: You'll work alongside a team of startup veterans and take on real responsibility from day one. Upside: You'll receive meaningful equity in a company that grew 15x last year. Impact: You'll leave an indelible mark on an industry responsible for 7% of US GDP. Recent projects include Kubernetes at the core: Operating and scaling our K8s clusters: GitOps deployments with ArgoCD and Helm, networking with Istio, and increasingly demanding stateful and compute-heavy workloads. AI infrastructure: Self-hosted model serving and GPU workloads on Kubernetes as we bring more of our AI stack in-house, alongside our existing self-hosted search cluster. Infrastructure as code: A multi-cloud Terraform estate spanning Azure, AWS, and GCP, built for repeatability, auditability, and least privilege. Observability: Our LGTM stack (Loki, Grafana, Tempo, Mimir), making the platform's behaviour legible to every engineer on the team. Security & compliance: Identity and access, secrets management, network policy, and the hardening and compliance work our enterprise customers demand. Your track record High performance environment. Four or more years running production infrastructure at a venture-backed startup or top tech firm, owning systems end to end. Kubernetes in production, at depth. Designed, operated, and debugged real clusters under load. GitOps with ArgoCD, Helm, and Terraform as your default. Security is how you build. You design with IAM, secrets, and network boundaries in mind from the start. You love this stuff. Curious about how things work under the hood; the kind of person who self-hosts or runs a homelab. Platform engineering is your craft. Comfortable at pace. Fast-moving environments are where you do your best work. Nice to have: GPU and LLM workloads on Kubernetes (the strongest plus, it's where we're heading), Istio or other service mesh, multi-cloud (we're Azure first with AWS and GCP), the LGTM observability stack, and compliance work (SOC 2, ISO 27001). How you operate Accountable: You take responsibility for what you build and make sure it has a positive impact on our customers and the team. You run what you ship, including the on-call and incidents that come with it. Secure by default: You believe the easy path should be the safe path, and you build the guardrails that make it so. Thoughtful: You think deeply about the problems you're solving and the changes you're making. You use AI to sharpen your own thinking, not to outsource it. Pragmatic: You accept that time is limited and information is incomplete. You make progress regardless, and adjust as we learn more. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI 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. Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Expedia Group is looking for extraordinary talent to jointheCustomer Engagement Marketing Team to dive deep in the data needs, solutions, and outcomes for all things CRM and outbound. Everything we do is powered by data, from who we send to, when we send it and what is sent. Getting the data right is a critical part to our operation. If you like connecting with data experts from scientist, engineers, and marketers daily and turning data into powerful personalization, this is the role for you. You will work in a truly customer focused organization and bring the depth of thinking to solve problemsand drive incremental business value through the direct communication channels we havewith our customers like email marketing, push notifications and in product messaging. What you'll do: Participate in discovery sessions with project teams to understand data requirements needed to support solution implementations. Work with marketing mangers to document all data needs required for a campaign, program, or communication. For our transition to a new platform, you would work daily with the transition lead to ensure all data elements for audience, content and measurement are accounted for. For transition to a new platform, spend time in the platform assisting engineers or marketers in creating new content and audiences. For transition to a new platform, helping in the QA of all assets from the build to launch to the monitoring period. Consult with data and performance on data requirements to measure the performance on the communication from CRM metrics to revenue metrics. Work with data scientist that are creating new models to gather data elements need to execute and connect the model to the right parts of the platform. Experience and Qualifications: 4+ years of experience in CRM Technology, utilizing Salesforce Marketing Cloud to create automated and personalized customer journeys. Leveraging all aspects of the platform - Journey Builder, Automation Studio, Email Studio, Intelligence Reports, Einstein etc Several years experience of SQL, HTML, CSS and Marketing Cloud scripting languages (AMPscript, GTL & SSJS) Knowledge of data concepts like relational data, data types, variables, data transformation, etc. Able to conceptualize how data flows, where it comes from and how to transform it to be useful in marketing comms and proactively query new and existing data sets The ability to speak with both technical people like software engineers and non-technical people like marketing managers, helping to bridge the gap and "translate" between the two groups Experience with structuring customer and business problems and solutions to address - determining tangible actions and driving forward the execution of initiatives to solve problems Ability to work in a very dynamic environment and keep track of constantly changing requirements and intersecting projects Proficiency with productivity software such as Excel, PowerPoint, Confluence, and Jira Experience with data security (including PCI, PII data), as well as CCPA and GDPR privacy laws and regulations Intimate knowledge on how data is used to power outbound communications in B2C Technical experience in cloud and big data technologies Self-starter who enjoys taking on challenging problems and operationalizing solutions Previous success building strong partnerships and relationships with clients/stakeholders in a wide range of roles and levels, across the institution Strong commercial acumen and the ability to simplify and communicate complex concepts concisely and clearly Strong relationship and facilitation skills both within diverse engineering and global cross-functional organizations Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at About Expedia Group Expedia Group includes three flagship consumer brands - Expedia, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. Important notice Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Electronic Systems Manager - London We're recruiting on behalf of an established technology business that develops sophisticated hardware products for customers operating in highly regulated and security-focused sectors. As the Electronic Systems Manager, you'll take ownership of the overall technical direction of complex hardware platforms, ensuring multiple engineering disciplines work together to deliver reliable, high-quality products. This is a leadership role with a strong technical focus, ideal for someone who enjoys solving engineering challenges while developing and supporting a high-performing team. The Opportunity You'll be responsible for the technical leadership of electronic systems throughout the product lifecycle, ensuring solutions are robust, manufacturable and meet demanding performance and compliance requirements. Working closely with Electronics, Firmware, Mechanical, Product Management and Manufacturing teams, you'll coordinate the successful delivery of complex hardware platforms from concept through to production. Key Responsibilities Define and maintain the overall architecture for complex electronic hardware systems. Lead multidisciplinary engineering teams to ensure successful integration across hardware, embedded software and mechanical design. Provide technical guidance on electronic system design, including digital electronics, mixed-signal circuits, power architecture and EMC considerations. Oversee system integration, prototype evaluation, design verification and product validation activities. Ensure products are designed to satisfy relevant regulatory, safety and quality standards before release to manufacture. Identify technical risks early and drive appropriate mitigation plans throughout development. Chair technical reviews, manage engineering documentation and maintain configuration control. Support manufacturing, production test and customer support teams in resolving technical issues. Mentor and develop engineers, encouraging knowledge sharing and continuous improvement. Work with suppliers and internal stakeholders to improve product performance, quality, manufacturability and cost. About You You'll be an experienced engineering leader with a strong background in electronics and systems development, comfortable managing both technical decisions and engineering teams. We're particularly interested in candidates with: Experience leading electronics or systems engineering teams delivering complex hardware products. Strong knowledge of systems engineering principles and electronic product development. A broad understanding of digital electronics, mixed-signal design, power systems and hardware integration. Experience delivering products that meet EMC, safety and regulatory compliance requirements. Familiarity with engineering design tools such as Altium and product lifecycle management (PLM) systems. The ability to make sound technical decisions, balancing performance, reliability, manufacturability and commercial considerations. Knowledge of secure hardware design methodologies and hardware security principles. Excellent communication and stakeholder management skills. Desirable Experience The following experience would be advantageous but is not essential: Safety standards such as IEC/EN 62368-1. Development of environmentally demanding electronic systems. FPGA or SoC-based hardware platforms. Python scripting for engineering automation or hardware testing. Exposure to security assurance standards or high-integrity product development environments. What's on Offer A senior technical leadership position with genuine influence over product development. The opportunity to work on innovative electronic technologies within a cooperative engineering environment. Hybrid working arrangements. Ongoing professional development and career progression If you're looking for a role where you can combine technical leadership with hands-on engineering expertise, we'd welcome the opportunity to discuss this position with you in confidence. JBRP1_UKTJ

JOB ID: FEQ427R333 Location: Remote, United Kingdom - The candidates can be based near Manchester or Leeds area Industry: Retail/CPG (UKI Enterprise) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team. Core Technical Qualifications: Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills: Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Role Overview The Senior Data Engineer is the technical owner of the ClarusONE data platform. This is a hands on engineering role with real ownership: alongside building and delivering data pipelines, you will raise the engineering standard of the platform - improving its reliability, scalability, security, and quality and help shape where it goes next. The platform has grown quickly, and this role is central to establishing the engineering patterns, frameworks, and best practices that will support it at scale. You will bring a technical lens to infrastructure, deployment practices, and architecture, and act as a trusted technical voice within the team. You will operate within the ClarusONE data governance framework, ensuring sensitive data is properly protected and that data can be traced end to end through its lifecycle. You will work closely with Analytics, Data Science, Software Engineering, and IT/Infrastructure to maintain an accurate, efficient, and compliant data environment - and will communicate confidently with stakeholders across the business, including Finance. Key Responsibilities Platform Ownership & Engineering Standards Take technical ownership of platform components, ensuring quality and consistency Establish, apply, and evolve engineering best practices, design patterns, and coding standards Define reusable patterns and frameworks across the data platform (including layered/medallion architecture approaches) Identify opportunities to improve performance, cost efficiency, scalability, and reliability Contribute to the target architecture and long term platform direction Data Engineering & Delivery Design and build robust, scalable data pipelines (Snowflake, dbt, Airflow, ADF, Python) Apply strong practices in test driven development, monitoring, logging, and observability Own more complex technical solutions and problem solving Support production issues and drive root cause improvements rather than quick fixes Data Governance, Traceability & Compliance Ensure data lineage and traceability across the data lifecycle, so any figure can be traced back to source Ensure sensitive data is appropriately protected within the ClarusONE data governance framework Work with IT teams to ensure solutions meet governance and compliance requirements (e.g. SOX) Understand and manage the implications of production changes within a controlled release process Infrastructure & DevOps Contribute to and maintain Infrastructure as Code (IaC) for the platform (Azure, AKS) in collaboration with the Infrastructure team Work within and help mature CI/CD pipelines, deployment workflows, and governance processes Continuously improve how the team builds, tests, and deploys data pipelines Innovation & Platform Evolution Bring forward ideas to improve the platform, tooling, and developer experience Evaluate emerging technologies and contribute to adoption decisions Support platform evolution, including re architecture and migration activities Collaboration & Communication Support other Data Engineers by sharing best practices and technical approaches Collaborate closely with Analytics & Data Insights, Software Engineering, and IT/Infrastructure Present technical work and recommendations to a range of audiences, including company wide forums Build strong working relationships with business stakeholders, including Finance, and translate technical concepts into clear, practical terms (The above statements describe the general nature and level of work being performed in this job. They are not intended to be an exhaustive list of all duties.) Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's degree level or above Critical Skills 6+ years' experience in data engineering or platform engineering, including at least 2 years at senior or lead level 4+ years' experience building and maintaining CI/CD pipelines, deployment workflows, and associated governance processes Advanced SQL and Python, with hands on experience building data pipelines and transformations at scale Hands on experience with a modern cloud data stack, including Snowflake, dbt, Airflow, and Databricks, on a cloud platform (Azure preferred) Demonstrated experience delivering data lineage and traceability within a regulated environment (e.g. SOX, financial services, healthcare, or similar) Experience contributing to platform migrations, re architecture, or modernisation programmes Proven ability to present technical concepts to non technical and senior stakeholders, including Finance, and influence decisions through practical recommendations Additional Knowledge & Skills Platform & Infrastructure Maintaining Infrastructure as Code for cloud based data platforms Exposure to containerised or distributed systems (AKS advantageous), including deployment, scaling, and operational considerations Orchestration & Version Control Operating Airflow at scale, including DAG reliability, scheduling, and failure handling Version control, branching strategies, and release processes Engineering Best Practice Test driven development and automated testing within CI/CD workflows Defining and enforcing standardised engineering patterns across a shared codebase Operational reliability, including monitoring, structured logging, alerting, and systematic failure recovery Desirable PySpark Experience supporting Airflow in a self managed environment Experience in a business building a data platform from the ground up Working Arrangements This is a hybrid role based in the UK, with an expectation of two days per week onsite. Applicants must hold existing right to work in the UK; sponsorship is not available for this position.

Job description: Are you someone who enjoys connecting the dots across complex systems, automating processes, and building reliable platforms that enable engineering teams to deliver at scale? Do you thrive in fast-paced, agile environments where innovation, collaboration, and continuous improvement are part of everyday work? If so, we'd love to hear from you. We're partnering with a growing, mission-led technology consultancy delivering secure, modern software solutions to the UK Government and Defence sector. As part of a collaborative engineering team, you'll help design, build, and support the cloud infrastructure, automation, and deployment platforms behind high-impact digital services. Whether you're an experienced DevOps Engineer or looking to take the next step in your career, you'll have the opportunity to work on meaningful projects while developing your technical expertise alongside talented engineers. The Role As a DevOps Engineer, you'll work within small, high-performing agile teams, enabling the successful delivery of secure, scalable, and resilient applications. You'll play a key role in improving engineering efficiency by automating infrastructure, streamlining deployments, and building robust cloud platforms that support the full software development lifecycle. What You'll Be Doing Design, build, and maintain secure, scalable cloud infrastructure and deployment platforms. Develop and manage automated CI/CD pipelines to support rapid and reliable software delivery. Build and operate shared platform services for deployment, monitoring, observability, and operational support. Create and maintain infrastructure using Infrastructure as Code (IaC) principles. Deploy, manage, and optimise solutions across AWS, Azure, and private cloud environments. Collaborate with software engineers, architects, and delivery teams to improve automation, security, and platform reliability. Monitor system health, performance, and availability while proactively identifying opportunities for optimisation. Contribute to DevOps best practices, continuous improvement initiatives, and engineering standards. What We're Looking For We're looking for engineers who are passionate about automation, cloud technologies, and building resilient, secure platforms. Essential Experience Commercial experience building, deploying, and supporting secure production systems. Experience with cloud platforms such as AWS and/or Azure. Strong understanding of CI/CD pipelines and modern software delivery practices. Experience with Infrastructure as Code and infrastructure automation. Knowledge of containers, orchestration, and cloud-native architectures. Experience working across the full Software Development Lifecycle (SDLC). Comfortable working in Agile environments using Scrum or Kanban. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Desirable Skills Experience with one or more of the following technologies is beneficial: Kubernetes Docker Terraform GitLab CI/CD Jenkins Packer Vault Prometheus Grafana Elastic Stack Artifactory Nexus Repository Serverless architectures Industry certifications across cloud platforms, Kubernetes, or DevOps tooling are also welcomed but are not essential. Why Join? This is an opportunity to work on technically challenging projects that have a genuine impact while continuing to grow your career in a supportive engineering culture. Benefits Hybrid and flexible working. Flexitime (37.5-hour working week). Learning and development budget for certifications, conferences, and training. Private healthcare. Matched pension contributions. Monthly socials and quarterly company events. Clear technical and career progression opportunities. Collaborative, inclusive culture that values innovation, knowledge sharing, and continuous improvement. Opportunity to contribute to projects supporting UK national security and public services. Diversity & Inclusion Our client is proud to be an Equal Opportunities Employer and a Disability Confident organisation. They are committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to succeed regardless of background, experience, or perspective. Interested? Whether you're actively looking for your next opportunity or simply open to exploring exciting new challenges, we'd love to have a confidential conversation. Apply today or get in touch to learn more about joining a team that's building the future of secure, scalable technology Qualifications: Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Why is This a Great Opportunity: Flexitime 37.5 hrs/week, structured your way Learning budget for training, certifications, and conferences Private healthcare and matched pension Monthly socials and quarterly company meetups Career growth in a fast-moving, meaningful sector Salary Type : Annual Salary Salary Min : £ 40000 Salary Max : £ 70000 Currency Type : GBP

Job description: Are you someone who enjoys connecting the dots across complex systems, automating processes, and building reliable platforms that enable engineering teams to deliver at scale? Do you thrive in fast-paced, agile environments where innovation, collaboration, and continuous improvement are part of everyday work? If so, we'd love to hear from you. We're partnering with a growing, mission-led technology consultancy delivering secure, modern software solutions to the UK Government and Defence sector. As part of a collaborative engineering team, you'll help design, build, and support the cloud infrastructure, automation, and deployment platforms behind high-impact digital services. Whether you're an experienced DevOps Engineer or looking to take the next step in your career, you'll have the opportunity to work on meaningful projects while developing your technical expertise alongside talented engineers. The Role As a DevOps Engineer, you'll work within small, high-performing agile teams, enabling the successful delivery of secure, scalable, and resilient applications. You'll play a key role in improving engineering efficiency by automating infrastructure, streamlining deployments, and building robust cloud platforms that support the full software development lifecycle. What You'll Be Doing Design, build, and maintain secure, scalable cloud infrastructure and deployment platforms. Develop and manage automated CI/CD pipelines to support rapid and reliable software delivery. Build and operate shared platform services for deployment, monitoring, observability, and operational support. Create and maintain infrastructure using Infrastructure as Code (IaC) principles. Deploy, manage, and optimise solutions across AWS, Azure, and private cloud environments. Collaborate with software engineers, architects, and delivery teams to improve automation, security, and platform reliability. Monitor system health, performance, and availability while proactively identifying opportunities for optimisation. Contribute to DevOps best practices, continuous improvement initiatives, and engineering standards. What We're Looking For We're looking for engineers who are passionate about automation, cloud technologies, and building resilient, secure platforms. Essential Experience Commercial experience building, deploying, and supporting secure production systems. Experience with cloud platforms such as AWS and/or Azure. Strong understanding of CI/CD pipelines and modern software delivery practices. Experience with Infrastructure as Code and infrastructure automation. Knowledge of containers, orchestration, and cloud-native architectures. Experience working across the full Software Development Lifecycle (SDLC). Comfortable working in Agile environments using Scrum or Kanban. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams. Desirable Skills Experience with one or more of the following technologies is beneficial: Kubernetes Docker Terraform GitLab CI/CD Jenkins Packer Vault Prometheus Grafana Elastic Stack Artifactory Nexus Repository Serverless architectures Industry certifications across cloud platforms, Kubernetes, or DevOps tooling are also welcomed but are not essential. Why Join? This is an opportunity to work on technically challenging projects that have a genuine impact while continuing to grow your career in a supportive engineering culture. Benefits Hybrid and flexible working. Flexitime (37.5-hour working week). Learning and development budget for certifications, conferences, and training. Private healthcare. Matched pension contributions. Monthly socials and quarterly company events. Clear technical and career progression opportunities. Collaborative, inclusive culture that values innovation, knowledge sharing, and continuous improvement. Opportunity to contribute to projects supporting UK national security and public services. Diversity & Inclusion Our client is proud to be an Equal Opportunities Employer and a Disability Confident organisation. They are committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to succeed regardless of background, experience, or perspective. Interested? Whether you're actively looking for your next opportunity or simply open to exploring exciting new challenges, we'd love to have a confidential conversation. Apply today or get in touch to learn more about joining a team that's building the future of secure, scalable technology Qualifications: Design and manage automated CI/CD pipelines. Build and operate shared platform services for deployment, operation, and monitoring. Create infrastructure using Infrastructure as Code (IaC) principles. Why is This a Great Opportunity: Flexitime 37.5 hrs/week, structured your way Learning budget for training, certifications, and conferences Private healthcare and matched pension Monthly socials and quarterly company meetups Career growth in a fast-moving, meaningful sector Salary Type : Annual Salary Salary Min : £ 40000 Salary Max : £ 70000 Currency Type : GBP

Job description: Are you an experienced Software Engineer who enjoys solving complex technical challenges, influencing engineering decisions, and mentoring others while remaining hands-on with code? Do you thrive in agile environments, embrace modern engineering practices, and want to work on projects that genuinely make a difference? If so, we'd love to hear from you. We're partnering with a growing, mission-led technology consultancy delivering secure, scalable software solutions for the UK Government and Defence sector. Their teams build modern digital platforms and mission-critical systems that support some of the UK's most important national programmes. This is an opportunity to join a collaborative engineering team where your technical expertise, leadership, and ideas will directly influence the success of high-impact projects. The Role As a Senior Software Engineer, you'll play a key role in designing, developing, and delivering secure, cloud-native applications while providing technical leadership across the software development lifecycle. You'll collaborate with architects, product owners, DevOps engineers, and clients to deliver innovative solutions using modern engineering practices. This role offers the perfect balance of hands-on software engineering, technical ownership, and mentoring. What You'll Be Doing Design, develop, and maintain secure, scalable software solutions. Lead the design and implementation of modern APIs, microservices, and cloud-native applications. Build robust, high-quality software using clean architecture and engineering best practices. Develop and deploy applications across cloud and on-premise environments. Work with CI/CD pipelines, containers, Infrastructure as Code, and DevOps tooling to automate delivery. Participate in architectural discussions and contribute to technical strategy. Mentor and support junior and mid-level engineers through code reviews and knowledge sharing. Collaborate with cross-functional teams and stakeholders to deliver secure, user-focused solutions. Drive continuous improvement across engineering standards, tooling, and delivery processes. What We're Looking For We're looking for engineers who combine strong technical expertise with curiosity, collaboration, and a passion for continuous improvement. Essential Experience Strong commercial experience in software engineering and modern application development. Experience building scalable applications, APIs, and distributed systems. Experience working with cloud platforms and modern software delivery practices. Good understanding of DevOps principles, CI/CD pipelines, containers, and Infrastructure as Code. Experience working within Agile environments (Scrum or Kanban). Passion for writing clean, maintainable, and well-tested code. Strong communication skills with the ability to collaborate with technical and non-technical stakeholders. Experience mentoring engineers or providing technical leadership within delivery teams. Desirable Experience working within secure, regulated, government, or defence environments. Knowledge of secure software engineering and DevSecOps practices. Existing UK DV Security Clearance. Why Join? You'll become part of a highly collaborative consultancy where engineering excellence, continuous learning, and innovation are genuinely encouraged. Benefits Hybrid and flexible working. Flexitime (37.5-hour working week). Learning and development budget for certifications, conferences, and training. Private healthcare. Matched pension contributions. Monthly socials and quarterly company events. Clear technical and leadership progression opportunities. Opportunity to work on meaningful projects supporting UK national security and public services. Diversity & Inclusion Our client is proud to be an Equal Opportunities Employer and Disability Confident organisation. They are committed to building diverse, inclusive teams where different perspectives are valued, collaboration is encouraged, and everyone has the opportunity to thrive. Interested? Whether you're actively exploring your next opportunity or simply curious about working on meaningful, technically challenging projects, we'd love to have a confidential conversation. Apply today or get in touch to learn more. Qualifications: Strong commercial experience in software engineering and modern application development. Experience building scalable applications, APIs, and distributed systems. Experience working with cloud platforms and modern software delivery practices. Good understanding of DevOps principles, CI/CD pipelines, containers, and Infrastructure as Code. Why is This a Great Opportunity: Flexitime 37.5 hrs/week structured your way + remote options Learning budget for training, certifications, and conferences Private healthcare and matched pension Monthly socials and quarterly company meetups Career growth in a fast-moving, meaningful sector Salary Type : Annual Salary Salary Min : £ 50000 Salary Max : £ 70000 Currency Type : GBP

Job description: Are you an experienced Software Engineer who enjoys solving complex technical challenges, influencing engineering decisions, and mentoring others while remaining hands-on with code? Do you thrive in agile environments, embrace modern engineering practices, and want to work on projects that genuinely make a difference? If so, we'd love to hear from you. We're partnering with a growing, mission-led technology consultancy delivering secure, scalable software solutions for the UK Government and Defence sector. Their teams build modern digital platforms and mission-critical systems that support some of the UK's most important national programmes. This is an opportunity to join a collaborative engineering team where your technical expertise, leadership, and ideas will directly influence the success of high-impact projects. The Role As a Senior Software Engineer, you'll play a key role in designing, developing, and delivering secure, cloud-native applications while providing technical leadership across the software development lifecycle. You'll collaborate with architects, product owners, DevOps engineers, and clients to deliver innovative solutions using modern engineering practices. This role offers the perfect balance of hands-on software engineering, technical ownership, and mentoring. What You'll Be Doing Design, develop, and maintain secure, scalable software solutions. Lead the design and implementation of modern APIs, microservices, and cloud-native applications. Build robust, high-quality software using clean architecture and engineering best practices. Develop and deploy applications across cloud and on-premise environments. Work with CI/CD pipelines, containers, Infrastructure as Code, and DevOps tooling to automate delivery. Participate in architectural discussions and contribute to technical strategy. Mentor and support junior and mid-level engineers through code reviews and knowledge sharing. Collaborate with cross-functional teams and stakeholders to deliver secure, user-focused solutions. Drive continuous improvement across engineering standards, tooling, and delivery processes. What We're Looking For We're looking for engineers who combine strong technical expertise with curiosity, collaboration, and a passion for continuous improvement. Essential Experience Strong commercial experience in software engineering and modern application development. Experience building scalable applications, APIs, and distributed systems. Experience working with cloud platforms and modern software delivery practices. Good understanding of DevOps principles, CI/CD pipelines, containers, and Infrastructure as Code. Experience working within Agile environments (Scrum or Kanban). Passion for writing clean, maintainable, and well-tested code. Strong communication skills with the ability to collaborate with technical and non-technical stakeholders. Experience mentoring engineers or providing technical leadership within delivery teams. Desirable Experience working within secure, regulated, government, or defence environments. Knowledge of secure software engineering and DevSecOps practices. Existing UK DV Security Clearance. Why Join? You'll become part of a highly collaborative consultancy where engineering excellence, continuous learning, and innovation are genuinely encouraged. Benefits Hybrid and flexible working. Flexitime (37.5-hour working week). Learning and development budget for certifications, conferences, and training. Private healthcare. Matched pension contributions. Monthly socials and quarterly company events. Clear technical and leadership progression opportunities. Opportunity to work on meaningful projects supporting UK national security and public services. Diversity & Inclusion Our client is proud to be an Equal Opportunities Employer and Disability Confident organisation. They are committed to building diverse, inclusive teams where different perspectives are valued, collaboration is encouraged, and everyone has the opportunity to thrive. Interested? Whether you're actively exploring your next opportunity or simply curious about working on meaningful, technically challenging projects, we'd love to have a confidential conversation. Apply today or get in touch to learn more. Qualifications: Strong commercial experience in software engineering and modern application development. Experience building scalable applications, APIs, and distributed systems. Experience working with cloud platforms and modern software delivery practices. Good understanding of DevOps principles, CI/CD pipelines, containers, and Infrastructure as Code. Why is This a Great Opportunity: Flexitime 37.5 hrs/week structured your way + remote options Learning budget for training, certifications, and conferences Private healthcare and matched pension Monthly socials and quarterly company meetups Career growth in a fast-moving, meaningful sector Salary Type : Annual Salary Salary Min : £ 50000 Salary Max : £ 70000 Currency Type : GBP