Platform Engineer - Hybrid, Kubernetes & Cloud

Kaluza

City of Edinburgh

On-site

GBP 70,000 - 110,000

Full time

14 days+

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Job summary

Kaluza is seeking a Platform Engineer to advance our internal developer platform. You will shape how developers interact with cloud infrastructure, reduce toil, and drive productivity with secure, cost-efficient operations.

Join a global team delivering scalable solutions across multiple clouds and Kubernetes clusters, with a focus on operator-friendly tooling and strong collaboration with engineering and site reliability functions.

Qualifications

  • Experience building and shipping production applications.
  • Excellent communication and collaboration skills.
  • Experience with cloud platforms AWS/GCP/Azure.
  • Strong interest in creating/maintaining Kubernetes clusters in production.
  • Foundations in distributed systems.
  • Experience with CI/CD, GitOps, and Infrastructure as Code technologies.

Responsibilities

  • Engineering Foundations: build scalable, reliable developer platform for seamless development, deployment, and operations.
  • Automation & Tooling: create tools to simplify platform use and boost efficiency.
  • Infrastructure as Code: use Terraform, Helm, Crossplane to provision cloud resources; promote GitOps.
  • Monitoring & Observability: establish robust monitoring and logging with SRE collaboration.
  • Security & Reliability: apply security best practices; participate in on-call rota.
  • Stakeholder Coordination: manage upgrades and hold service providers accountable.

Skills

Production apps
Communication
Cloud platforms
Kubernetes
Distributed systems
CI/CD
GitOps
Infrastructure as Code

Tools

Terraform
Helm
Crossplane
GitOps tooling

Job description

Kaluza is seeking a Platform Engineer to advance our internal developer platform. You will shape how developers interact with cloud infrastructure, reduce toil, and drive productivity with secure, cost-efficient operations.

Join a global team delivering scalable solutions across multiple clouds and Kubernetes clusters, with a focus on operator-friendly tooling and strong collaboration with engineering and site reliability functions.

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