Platform Engineer

As a Platform Engineer in our Engineering Acceleration Team, you will design, build and operate the Kubernetes-based infrastructure that our engineering teams depend on every day. You’ll work across hybrid-cloud and on-prem environments — spanning AWS, the factory edge and trackside deployments — and contribute to the developer experience tooling that makes the platform genuinely self-service for developers, non-developers and AI-assisted workflows alike.

Platform infrastructure

• Deploy and operate Kubernetes clusters (EKS, on-prem via Rancher) across hybrid-cloud and virtualised environments.
• Define and implement best practices around scaling, security, high availability and multi-tenancy.
• Use Terraform, Crossplane and Helm to automate infrastructure provisioning and configuration.
• Build reusable modules and automation that enable teams to self-serve infrastructure without platform team involvement.

Developer experience & delivery enablement

• Enable application delivery through GitOps workflows, CI/CD pipelines and Helm-based deployments.
• Contribute to platform tooling — including CLIs, Claude Code skills and MCP server integrations — to support AI-assisted developer workflows.
• Help teams adopt modern delivery practices through tooling, documentation and coaching.

Observability & reliability

• Operate production workloads with an SRE mindset: measure reliability, define SLOs and reduce toil through automation.
• Contribute to on-call readiness, incident response and root cause analysis.
• Apply security best practices for Kubernetes (RBAC, network policies, secrets management) and support audit and compliance requirements.

What we’re looking for

• Essential: Kubernetes provisioning and lifecycle management (AKS, EKS, on-prem); Infrastructure as Code using Terraform and Helm; containerisation and orchestration with Docker, Helm and Operators.
• Cloud platforms — AWS and/or Azure; CI/CD pipelines (Bitbucket Pipelines, GitHub Actions or similar); GitOps workflows (e.g. ArgoCD).
• Monitoring, logging and alerting with Prometheus, Grafana and Loki; scripting and automation in Python, Bash or similar.
• Beneficial: multi-cloud or hybrid-cloud architecture experience; reliability-focused engineering (SLOs, SLIs, error budgets); AI-assisted development tools such as Claude Code or GitHub Copilot.
• Degree in Computer Science, Systems Engineering or a related field.

Company Description

For almost 50 years, Williams has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name. Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships. Atlassian Williams F1 Team is an equal opportunity employer that values diversity and inclusion.