Senior Full Stack Engineer

This is a hands-on senior individual contributor role within Champion Data's Technology function, delivering reliable, secure and maintainable software through AI-native engineering. The role has a front-end focus, building polished, high-performing user interfaces for Champion Data's sports data products, supported by solid capability across back-end services and cloud infrastructure. The engineer works directly in code, uses AI coding agents as a core part of design, build, test, review and improvement, and retains accountability for correctness, security and quality.

They collaborate with product, design, delivery and engineering colleagues across a distributed team.

• Own substantial engineering outcomes end to end, from requirements and solution design through implementation, release verification and ongoing improvement.
• Design, build and maintain responsive, accessible front-end interfaces using Type Script, React and Next.js, with maintainable component design and application structure, collaborating with product and design colleagues to deliver polished
• Usable interfaces for live and data-intensive sports products.
• Apply understanding of server-side and client-side execution, rendering approaches, routing, data fetching and caching, and deliver clear loading, empty and error states with reliable API integration.
• Deploy and operate Next.js applications on Vercel, including preview deployments, environment configuration and production troubleshooting, while optimising web performance and handling authentication flows securely.
• Contribute to back-end services, APIs and integrations built with C and modern .NET, and build, deploy and support back-end components on AWS with sound data modelling and database practices.
• Design clear interfaces between front-end and back-end components that fit existing architecture and engineering standards, and diagnose issues across application, API, database and cloud boundaries.
• Use AI coding agents routinely for implementation, refactoring, tests, debugging and documentation, turning requirements into clear goals, constraints, acceptance criteria and repository context, and use approved tools and follow company controls for source code, credentials
• Customer data and other confidential information.
• Plan and supervise agent work in manageable changes, inspect diffs, challenge assumptions, correct poor design or unnecessary complexity, validate generated code through automated tests, code review and checks of real behaviour
• And measure success through improved delivery outcomes rather than the volume of generated code.
• Own complex features and components end to end, develop appropriate tests, maintain CI/CD workflows, verify released changes, investigate production issues, identify root causes and improve observability, resilience and performance.
• Communicate progress, risks, blockers and technical decisions clearly, work effectively with product, delivery and engineering colleagues across a distributed team, contribute code reviews, share knowledge and improve reusable agent instructions, documentation and team workflows.

• Demonstrated senior-level delivery of production software, with independent ownership of complex work and sound judgement about design, risk and trade-offs.
• Established AI-native engineering background, with hands-on use of AI coding agents in professional software delivery, supported by concrete examples of work shipped and how it was validated.
• Strong front-end background, with extensive production experience in Type Script, React and Next.js.
• Experience working in sport, such as sports data, sports technology, live systems or data-intensive sports products.
• Practical…