Teams at Williams Racing

Designs, builds, and operates Kubernetes-based infrastructure across AWS, hybrid-cloud, on-premises, factory edge, and trackside environments. Develops infrastructure-as-code, GitOps, CI/CD, observability, platform automation, and self-service developer tooling. Supports reliability engineering, SLOs, incident response, root cause analysis, security, compliance, documentation, and coaching. The role also contributes to AI-assisted development workflows and internal deployment platforms.

Conduct simulation studies for current and future Formula 1 cars, support simulator and rig testing, and develop software tools, data platforms, and performance metrics. The role provides experience across vehicle dynamics, data analysis, and vehicle testing while generating performance insights for car development and race support in a high-pressure collaborative environment.

A 12-month industrial placement split between Quality Assurance and Continuous Improvement. Responsibilities include leading quality and process improvement projects, conducting root cause analyses, supporting Lean assessments and time-and-motion studies, improving standard operating procedures, enabling data-driven decisions, delivering training, and assisting with change management and operational excellence initiatives.