G

G-Research

Quantitative finance research applying rigorous methods

Kubernetes Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Strong Linux systems engineering background.
  • Strong programming ability in Go or Python, ideally with experience building Kubernetes operators or controllers.
  • Strong understanding of Kubernetes internals, including custom resource definitions, role-based access control, 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.
  • Experience collaborating with internal platform users to gather feedback and deliver improvements.
  • Experience writing and maintaining technical documentation, runbooks, and post-incident reviews.

Responsibilities

  • Design and operate custom Kubernetes operators and controllers to automate infrastructure beyond off-the-shelf solutions.
  • Guarantee multi-tenant security and isolation by enforcing role-based access control and policies with Open Policy Agent and Gatekeeper.
  • Engineer GitOps-driven continuous integration and continuous delivery pipelines using Argo CD and Flux CD for safe, auditable changes.
  • Drive Infrastructure as Code practices with Terraform and Helm for reliable and repeatable builds.
  • Embed observability using Prometheus, Grafana, and OpenTelemetry to make systems measurable and reliable.
  • Test and adopt new Kubernetes versions and features early.
  • Collaborate with teams across the business to refine requirements, challenge assumptions, and prioritize developer experience.
  • Contribute to an on-call rotation, take ownership of incidents, and solve problems openly.
  • Capture and share knowledge by writing clear runbooks, postmortems, and design documentation.

About the Company

G-Research

Quantitative finance research applying rigorous methods

G-Research applies scientific rigour to solve complex challenges in financial markets. It brings together world-class researchers and engineers to develop data-driven models and trading ideas, testing them through rigorous experimentation and robust infrastructure. Unlike many traditional asset managers, its culture emphasizes deep exploration, reproducibility, methodical execution, and long-term thinking. The goal is to generate alpha through disciplined, evidence-based research that informs investment decisions and advances understanding of financial markets.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2001

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