Description
We are seeking an experienced Senior Software Engineer to join our high-performance Digital Solutions department at Audi Motorsport Technology Centre in Bicester, UK.
As a Senior Software Engineer in Digital Solutions UK, you will help transform the digital tools used across the organisation, with a strong focus on building smart, reliable and scalable applications that improve performance from development through to race operations. You will work hands-on on strategic initiatives, delivering performance for departments and stakeholders across the business. The role combines full-stack software engineering, domain learning, stakeholder collaboration and practical GenAI delivery, helping Digital Solutions build the smartest tools with strong AI capabilities on the grid.
Your duties will include:
- Designing, developing, testing and delivering high-quality full-stack software solutions, including backend services, frontend applications, APIs, databases and integrations.
- Taking ownership of complex features and technical workstreams, from requirements capture through to production delivery and ongoing improvement.
- Contributing hands-on to strategic Digital Solutions projects that support end-to-end engineering and operational processes.
- Working with engineering, operations and business stakeholders to understand workflows, challenge assumptions and turn domain needs into pragmatic digital solutions.
- Building AI-enabled capabilities into stakeholder-facing applications, applying GenAI and agentic AI patterns where they create measurable business value and can be governed safely.
- Supporting enterprise scaling of AI adoption by contributing to practical use cases, secure integration patterns, cost-aware implementation and approved-tool usage.
- Contributing to architecture, software engineering standards, CI/CD, testing, deployment automation and maintainable cloud-native engineering practices.
Your profile:
- Proven experience as a Software Engineer, preferably in a senior or technically influential role.
- Strong full-stack software engineering capability, including backend and frontend development using modern languages and frameworks such as C#, Python, TypeScript, ASP.NET Core, FastAPI, React, Vue, Svelte or equivalent technologies.
- Hands-on experience with GenAI technologies, including practical use of LLMs, AI coding assistants, prompt engineering and integration of AI capabilities into applications.
- Experience designing, developing, testing and maintaining production-quality cloud-native software systems.
- Good understanding of software architecture, APIs, databases, distributed systems, automated testing, CI/CD and modern development practices.
- Ability to take ownership of complex technical problems and deliver pragmatic, maintainable solutions in a fast-paced environment.
- Fluent written and spoken English.
- Experience with cloud platforms, Kubernetes, infrastructure as code, deployment automation, platform operations, streaming systems, data-focused applications or ML Ops concepts.
- Experience in motorsport, high-performance engineering, aerodynamics, simulation, telemetry or other complex engineering domains would be beneficial but is not mandatory.