Kubernetes Platform Engineer – London / Paris

Oxford Knight; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global quantitative investment firm in Greater London is seeking experienced Kubernetes Engineers. This position involves supporting cloud-based and on-premise Kubernetes clusters, focusing on stability, scalability, and performance. Responsibilities include the implementation of high availability solutions and developing GitOps workflows. Candidates should have strong skills in Kubernetes administration, cloud platforms, and programming languages like Python or Golang. This is an opportunity to contribute to a culture of innovation in a dynamic environment.

Qualifications

• Experience in designing and implementing Kubernetes clusters on-prem and in the cloud.
• Ability to provide Kubernetes as a product with self-service capabilities.
• Deep understanding of Kubernetes internals and control plane components.

Responsibilities

• Support cloud-based and on-premise container orchestration platforms.
• Contribute to the stability and scalability of Kubernetes clusters.
• Develop and maintain GitOps workflows.

Skills

Kubernetes administration

Cloud platforms

GitOps workflows

Python

Golang

Helm

Kustomize

Tools

ArgoCD

Flux

GitLab CI

Job description

Overview

My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.

Responsibilities

As they build a new team, this firm is seeking experienced Kubernetes Engineers who can support both cloud-based and on-premise container orchestration platforms. This role will contribute to the stability, scalability, and performance of our Kubernetes clusters, supporting a variety of mission‑critical workloads. You will work closely with cloud, DevOps, and application teams to ensure smooth deployment pipelines, robust observability, and secure cluster operations.

Requirements

• Help design and lead the implementation of Kubernetes clusters (on‑prem and/or cloud) with high availability, scalability, and security.
• Offer Kubernetes as a product to internal teams by delivering self‑service capabilities (e.g. namespace provisioning, templated jobs, onboarding flows).
• Build reusable platform patterns and deployment blueprints using Helm, Kustomize, or custom controllers.
• Develop and maintain platform‑aware GitOps workflows using tools like ArgoCD, Flux, and GitLab CI.
• Design tenancy‑aware RBAC, network policies, and secrets management aligned to internal standards and developer autonomy.
• Deep understanding of Kubernetes internals, including control plane components, CRDs, CNIs, and storage provisioning.
• Apply policy‑as‑code via admission controllers (OPA / Gatekeeper) to enforce compliance and enable safe multi‑tenancy.
• Implement observability stacks that monitor cluster health, workload status, and policy violations, exposing this to users through dashboards or APIs.
• Manage and support Kubernetes clusters across production, staging, and development environments.
• Troubleshoot and resolve infrastructure, container, and networking issues in Kubernetes environments, while shifting common operational tasks into automation and developer‑friendly tooling.
• Support application teams with onboarding and deployment by enabling paved‑path workflows—not ticket‑based operations.
• Participate in on‑call rotation and incident response related to Kubernetes and containerised applications.
• Demonstrable knowledge of Python, Golang, or similar languages, with emphasis on platform tooling, scripting, or controller development.
• Stay informed on industry trends and emerging technologies to evolve platform capabilities, developer experience, and operational resilience.