Platform Engineer

Williams Racing; Retford; On-site; GBP 50,000 - 62,000; Full time

Benefits offered by this job

Generous holidays

Onsite restaurant subsidies

Car schemes

Gym access

Free parking

Green spaces

Job summary

Williams Racing is seeking an experienced DevOps/SRE engineer to design, build and operate Kubernetes-based infrastructure across hybrid-cloud and on-prem environments. You will contribute to developer tooling, CI/CD improvements and incident response, enabling self-service for engineers and AI-driven workflows.

Responsibilities include deploying Kubernetes clusters, defining IaC patterns, and ensuring security, scaling and reliability.

Qualifications

• Degree in Computer Science, Systems Engineering or related field.
• Experience with Kubernetes provisioning and lifecycle management (AKS, EKS, on-prem).
• Experience with Infrastructure as Code using Terraform and Helm.
• Experience with containerisation and orchestration with Docker, Helm and Operators.
• Experience with cloud platforms, including AWS and/or Azure.
• Experience with CI/CD pipelines (Bitbucket Pipelines, GitHub Actions or similar).
• Experience with GitOps workflows, such as ArgoCD.
• Experience with monitoring, logging and alerting with Prometheus, Grafana and Loki.
• Experience with scripting and automation in Python, Bash or similar.

Responsibilities

• We design, build and operate Kubernetes-based infrastructure that our engineering teams depend on every day.
• We work across hybrid-cloud and on-prem environments, spanning AWS, our factory edge and trackside deployments.
• We contribute to developer experience tooling that makes the platform self-service for developers, non-developers and AI-assisted workflows.
• We define infrastructure-as-code patterns and improve CI/CD pipelines.
• We contribute to incident response and help teams adopt modern delivery practices.
• We build platform automation that removes toil.
• We deploy and operate Kubernetes clusters across hybrid-cloud and virtualised environments.
• We define and implement best practices around scaling, security, high availability and multi-tenancy.
• We use Terraform, Crossplane and Helm to automate infrastructure provisioning and configuration.
• We build reusable modules and automation that enable teams to self-serve infrastructure without platform team involvement.
• We enable application delivery through GitOps workflows, CI/CD pipelines and Helm-based deployments.
• We contribute to platform tooling, including CLIs, Claude Code skills and MCP server integrations, to support AI-assisted developer workflows.
• We help teams adopt modern delivery practices through tooling, documentation and coaching.
• We contribute to the self-service deployment platform that enables developers and non-developers alike to ship code without deep infrastructure knowledge.
• We operate production workloads with an SRE mindset, measuring reliability, defining SLOs and reducing toil through automation.
• We contribute to on-call readiness, incident response and root cause analysis.
• We apply security best practices for Kubernetes and support audit and compliance requirements.

Skills

Kubernetes provisioning

CI/CD pipelines

GitOps workflows

Python/Bash scripting

Cloud platforms (AWS/Azure)

Infrastructure as Code

Monitoring/Logging (Prometheus Grafana

Education

Bachelor's degree in CS/Systems Engineering or related field

Tools

Terraform

Helm

Docker

ArgoCD

Bitbucket/GitHub Actions

Job description

Salary: £50,000 - 62,000 per year

Requirements:

• Degree in Computer Science, Systems Engineering or a related field.
• Experience with Kubernetes provisioning and lifecycle management (AKS, EKS, on-prem).
• Experience with Infrastructure as Code using Terraform and Helm.
• Experience with containerisation and orchestration with Docker, Helm and Operators.
• Experience with cloud platforms, including AWS and/or Azure.
• Experience with CI/CD pipelines (Bitbucket Pipelines, GitHub Actions or similar).
• Experience with GitOps workflows, such as ArgoCD.
• Experience with monitoring, logging and alerting with Prometheus, Grafana and Loki.
• Experience with scripting and automation in Python, Bash or similar.
• Multi-cloud or hybrid-cloud architecture experience is beneficial but not essential.
• Security practices for cloud-native platforms are beneficial but not essential.
• Reliability-focused engineering experience, including SLOs, SLIs and error budgets, is beneficial but not essential.
• Incident response practices and post-incident reviews are beneficial but not essential.
• Experience with AI-assisted development tools such as Claude Code or GitHub Copilot is beneficial but not essential.
• Experience building developer experience tooling, CLIs or internal developer platforms is beneficial but not essential.
• Experience designing self-service workflows for non-technical users is beneficial but not essential.

Responsibilities:

• We design, build and operate Kubernetes-based infrastructure that our engineering teams depend on every day.
• We work across hybrid-cloud and on-prem environments, spanning AWS, our factory edge and trackside deployments.
• We contribute to developer experience tooling that makes the platform self-service for developers, non-developers and AI-assisted workflows.
• We define infrastructure-as-code patterns and improve CI/CD pipelines.
• We contribute to incident response and help teams adopt modern delivery practices.
• We build platform automation that removes toil.
• We deploy and operate Kubernetes clusters across hybrid-cloud and virtualised environments.
• We define and implement best practices around scaling, security, high availability and multi-tenancy.
• We use Terraform, Crossplane and Helm to automate infrastructure provisioning and configuration.
• We build reusable modules and automation that enable teams to self-serve infrastructure without platform team involvement.
• We enable application delivery through GitOps workflows, CI/CD pipelines and Helm-based deployments.
• We contribute to platform tooling, including CLIs, Claude Code skills and MCP server integrations, to support AI-assisted developer workflows.
• We help teams adopt modern delivery practices through tooling, documentation and coaching.
• We contribute to the self-service deployment platform that enables developers and non-developers alike to ship code without deep infrastructure knowledge.
• We operate production workloads with an SRE mindset, measuring reliability, defining SLOs and reducing toil through automation.
• We contribute to on-call readiness, incident response and root cause analysis.
• We apply security best practices for Kubernetes and support audit and compliance requirements.

Technologies:

• AI
• AWS
• ArgoCD
• Azure
• Bash
• BitBucket
• CI/CD
• Claude Code
• Cloud
• Copilot
• Docker
• GitHub
• GitOps
• Grafana
• Helm
• Support
• Kubernetes
• MCP
• Prometheus
• Python
• Security
• Terraform
• Atlassian
• DevOps
• Network
• RBAC

More:

Atlassian Williams F1 Racing Team is a fast-paced, future-thinking team driving innovation and pushing past engineering boundaries. We offer a competitive benefits package that includes generous holidays, vibrant staff events, a subsidised onsite restaurant, a range of car schemes, 24/7 access to our gym, free fitness classes such as outdoor boot camps, Pilates and Yoga, free parking and extensive green spaces. We value diversity and inclusion and are happy to discuss reasonable job adjustments. The role is full-time in Engineering at associate level within the sports industry.

last updated 36 week of 2026