Job Description
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Location: London, Watford or Bristol (Hybrid working options available)
We’re looking for an Azure Platform Engineer with strong experience in Kubernetes and an interest in platform abstraction and cloud-native infrastructure patterns. You’ll help us design and build shared platform capabilities on Azure that hide complexity from product teams while enforcing security, reliability and governance by default.
This role is ideal for an engineer who:
- Enjoys working with Kubernetes and Azure
- Thinks in terms of platform APIs, abstractions and self-service
- Is curious about emerging control plane and infrastructure abstraction approaches
- Wants to help teams consume infrastructure as a product
How the Team Works
You’ll join a Platform Engineering team focused on building reusable, internal platform services rather than one-off infrastructure.
We work using:
- Kubernetes as a core platform primitive
- GitOps, CI/CD and Infrastructure-as-Code
- DevSecOps and SRE-inspired practices
- AI-assisted engineering (Copilot, agents, automation)
What You’ll Do
- Build and operate Azure-backed platform services exposed through Kubernetes APIs
- Design abstractions that allow teams to provision infrastructure safely and consistently
- Work with AKS as a core runtime for platform and workload services
- Contribute to platform control plane capabilities (e.g. Kubernetes-based or API-driven approaches)
- Define and manage Azure resources using Terraform, Bicep and declarative approaches
- - Embed security, governance and policy into platform defaults
- Support GitOps-driven workflows and CI/CD pipelines
- Improve observability, reliability and operational xwzovoh readiness
Who You Are
Essential:
- Experience in Azure, cloud engineering, DevOps or platform roles
- Hands-on experience with Kubernetes
- Infrastructure-as-Code experience
- Scripting (PowerShell, Bash or Python)
- CI/CD and Git-based workflows
Desirable:
- Experience with platform abstraction or control plane patterns (e.g. Crossplane, Pulumi, or similar approaches)
- Kubernetes extension patterns or operators
- Terraform or Bicep
- Azure networking, identity and governance
- GitOps tooling