Platform Engineer - Kubernetes

Arcus Search

Greater London

On-site

GBP 70,000 - 110,000

Full time

23 hours ago
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Job summary

Arcus Search is seeking a Kubernetes Software Engineer for Quantitative Technology in London to build and evolve an internal developer platform on Kubernetes, improving developer experience across hundreds of engineers.

The role emphasizes Linux expertise and strong coding in Go or Python, plus hands-on with GitOps, CI/CD and developer tooling. Experience with ArgoCD, Jenkins/Bamboo, Git, and Artifactory is highly relevant.

Qualifications

  • Experience with Kubernetes and Linux
  • Proficiency in Go or Python
  • Familiarity with GitOps, CI/CD and developer tooling

Responsibilities

  • Work on internal developer platform on Kubernetes
  • Improve developer experience and engineering quality
  • Collaborate with engineers to evolve platform tooling

Skills

Kubernetes
Linux
Go
Python
GitOps
CI/CD
Developer tooling

Tools

ArgoCD
Jenkins
Bamboo
Git
Artifactory
Prometheus
Grafana
GitHub Codespaces
Cilium
CRI-O

Job description

Kubernetes Software Engineer opportunity - Quantitative Technology - London

  • Looking for an experienced Kubernetes Software Engineer with a strong background in Software Engineering and Platform Engineering
  • You'll be working on the internal developer platform relied upon by hundreds of engineers, solving complex platform challenges rather than simply operating infrastructure
  • The focus is on building and evolving remote development environments running on Kubernetes, with a real emphasis on developer experience and engineering quality
  • You'll bring strong experience across Kubernetes and Linux, with Go or Python, alongside GitOps, CI/CD and developer tooling
  • Platform technologies including ArgoCD, Jenkins or Bamboo, Git, Artifactory, RBAC and Kubernetes networking will all be highly relevant
  • Experience with Cilium, CRI-O, Prometheus, Grafana, Coder or GitHub Codespaces would be a bonus

This is a genuinely engineering-led Kubernetes opportunity within a highly technical quantitative environment, with significant scope to influence the platform and tooling used across the wider engineering organisation.

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