Kubernetes Platform Engineer

In this Kubernetes-focused role, you’ll build and operate scalable, secure platform infrastructure to support cutting-edge research and trading workloads. You work with researchers, engineers, and traders to deliver automated, observable systems that meet current needs while enabling growth. You’ll join a London-based engineering team shaping platforms that accelerate discovery and innovation with a strong emphasis on reliability and performance. This is a hands-on, impact-driven opportunity in a mission-led environment.

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided and barista bar
• 30 days’ annual leave
• 9% company pension contributions
• Comprehensive healthcare and life assurance
• Cycle-to-work scheme

• Design and operate custom Kubernetes operators/controllers to automate infrastructure beyond off-the-shelf solutions
• Guarantee multi-tenant security and isolation with RBAC and OPA/Gatekeeper
• Engineer GitOps-driven CI/CD pipelines (ArgoCD, FluxCD) for safe, auditable changes
• Drive Infrastructure as Code practices with Terraform and Helm for reliable builds
• Embed observability using Prometheus, Grafana, and OpenTelemetry to measure and ensure reliability
• Stay ahead of Kubernetes evolution by testing and adopting new versions/features early
• Collaborate with researchers, engineers, and traders to refine requirements and improve developer experience
• Contribute to on-call rotation, own incidents, and share responsibility in a no-blame culture
• Capture and share knowledge through runbooks, postmortems, and design documentation

• Strong Linux system engineering background
• Go or Python programming ability, with experience building Kubernetes operators/controllers
• Solid understanding of Kubernetes internals (CRDs, RBAC, custom controllers, scheduler extensions)
• Hands-on with Helm and GitOps workflows
• Experience implementing multi-tenant security controls in Kubernetes (namespace isolation, network policies, Open Policy Agent)
• Proven ability to troubleshoot complex performance and reliability issues
• Experience with observability tools (Prometheus, Grafana, OpenTelemetry)
• Strong communication and collaboration skills; experience documenting technical work

• Strong communication
• Collaboration across teams
• Ownership and accountability
• Kubernetes internals (CRDs, RBAC, controllers, scheduler extensions)
• Kubernetes operators/controllers development
• Go or Python programming