Kubernetes Platform Engineer

We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity. From our London HQ, we unite world‑class researchers and engineers in an environment that values deep exploration and methodical execution – because the best ideas take time to evolve. Together we’re building a world‑class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high‑impact research – designing systems that scale, accelerate discovery and support innovation across the firm.

The Role

We are seeking a Kubernetes engineer to join our London engineering team. In this role, you’ll play a pivotal part in shaping the platforms that enable our research and trading teams to run cutting‑edge workloads at scale. You will be responsible for designing, building, and operating mature Kubernetes‑based infrastructure that is secure, resilient, and highly automated, ensuring it can support a wide range of demanding compute requirements. Our environment spans everything from GPU‑intensive machine‑learning model training to ultra‑low‑latency trading workloads, requiring meticulous attention to performance, reliability, and scalability. You’ll work closely with researchers, engineers, and traders to deliver platforms that not only meet immediate needs but also anticipate future growth and innovation.

Key Responsibilities

• Design and operate custom Kubernetes operators/controllers to automate infrastructure beyond off‑the‑shelf solutions.
• Guarantee multi‑tenant security and isolation, enforcing RBAC and policies with 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 and repeatable builds.
• Heavily embed observability using Prometheus, Grafana, and OpenTelemetry to make systems measurable and reliable.
• Stay ahead of Kubernetes evolution by testing and adopting new versions and features early.
• Collaborate with teams across the business, refining requirements, challenging assumptions and prioritising developer experience.
• Contribute to an on‑call rotation, take ownership of incidents, solve problems openly and share responsibility in a no‑blame culture.
• Capture and share knowledge, writing clear runbooks, post‑mortems, and design documentation.

Qualifications

• Strong Linux system engineering background.
• Great programming ability in Go or Python, ideally with experience building Kubernetes operators or controllers.
• Strong understanding of Kubernetes internals, including CRDs, RBAC, custom controllers and scheduler extensions.
• Hands‑on experience with Helm and GitOps workflows.
• Experience implementing multi‑tenant security controls in Kubernetes, including namespace isolation, network policies, and Open Policy Agent.
• Proven ability to troubleshoot complex performance and reliability issues across infrastructure and workloads.
• Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry to monitor cluster metrics and health.
• Great communication skills, with experience collaborating with internal platform users to gather feedback and deliver improvements.
• Experience writing and maintaining technical documentation, runbooks, and post‑incident reviews.

Benefits

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 30 days’ annual leave
• 9% company pension contributions
• Informal dress code and excellent work/life balance
• Comprehensive healthcare and life assurance
• Cycle‑to‑work scheme
• Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.