Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.
We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This is a role based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.
The role
We are seeking a highly skilled and motivated Kubernetes Engineer to join our world-class engineering team. In this role, you’ll play a pivotal part in shaping the platforms that enable our research 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 workloads, requiring meticulous attention to performance, reliability and scalability. You’ll work closely with researchers and engineers to deliver platforms that not only meet immediate needs but also anticipate future growth and innovation.
Key responsibilities of the role include:
Designing and operating custom Kubernetes operators and controllers to automate infrastructure beyond off-the-shelf solutions
Guaranteeing multi-tenant security and isolation, enforcing RBAC and policies with OPA/Gatekeeper
Engineering GitOps-driven CI/CD pipelines (ArgoCD, FluxCD) for safe, auditable changes
Driving Infrastructure as Code practices with Terraform and Helm for reliable and repeatable builds
Heavily embedding observability using Prometheus, Grafana and OpenTelemetry to make systems measurable and reliable
Staying ahead of Kubernetes evolution, testing and adopting new versions and features early
Collaborating with teams across the business, refining requirements, challenging assumptions and prioritising developer experience
Contributing to an on-call rotation, taking ownership of incidents, solving problems openly and sharing responsibility in a no blame culture
Capturing and sharing knowledge, writing clear runbooks and postmortems, and designing documentation
Who are we looking for?
The ideal candidate will have the following skills and experience:
Strong Linux system engineering background
Strong 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
Strong 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
The following skills and experience is desirable:
Experience with Cilium or other CNI plugin
Experience with platforms such as OpenStack or VMware
Experience with Amazon Web Services EKS
Experience working with GPU-intensive workloads, such as large language models, ML training pipelines or scientific computing
Experience with KubeVirt
Contributions to open-source projects within the Kubernetes ecosystem
Familiarity with container runtimes such as CRI-O, containerd and the NVIDIA Container Toolkit
Familiarity with NVIDIA tooling for containers
Understanding of SLOs, SLAs and error budgets
We value engineers who bring curiosity, pragmatism and collaboration to their work who are motivated to grow continuously while helping those around them do the same.
Why should you apply?
- 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
