Senior Platform Engineer: Kubernetes, Go & Self-Service Infra

Just Eat Takeaway.com

Ewell

On-site

GBP 90,000 - 130,000

Full time

7 days ago
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Job summary

Just Eat Takeaway.com, a leading online delivery platform, invites a skilled Platform Engineer to join the Intelligence Platform Core team. You will shape platform infrastructure for Data & ML Platforms on AWS, building self-service experiences that abstract Kubernetes and cloud complexity for data workflows.

Role emphasizes design and implementation of scalable, reliable platform components with Go, Kubernetes controllers, and GitOps, while mentoring others and promoting best practices across

Qualifications

  • Experience building cloud-native platforms on AWS, GCP or Azure.
  • Proficient in Go for backend services and Kubernetes controllers.
  • Experience with GitOps and automated delivery pipelines.
  • Understanding of distributed systems and scalable architectures.
  • Experience building self-service/internal developer platforms.
  • Care about developer experience and reducing cognitive load through good abstractions.
  • Strong communication and collaboration across teams to drive platform adoption.

Responsibilities

  • Design and implement platform capabilities using Kubernetes-native patterns.
  • Drive the adoption of platform engineering principles with self-service workflows.
  • Design and implement Kubernetes controllers/operators in Go to automate lifecycles.
  • Mentor engineers and grow platform engineering practices.
  • Collaborate across teams to align on interfaces and abstractions.
  • Support hiring as the team expands and set code quality standards.

Skills

Kubernetes
Go
GitOps
Distributed systems
Self-service platforms
Developer experience
Cross-team collaboration

Tools

Kubernetes controllers/operators

Job description

Just Eat Takeaway.com, a leading online delivery platform, invites a skilled Platform Engineer to join the Intelligence Platform Core team. You will shape platform infrastructure for Data & ML Platforms on AWS, building self-service experiences that abstract Kubernetes and cloud complexity for data workflows.

Role emphasizes design and implementation of scalable, reliable platform components with Go, Kubernetes controllers, and GitOps, while mentoring others and promoting best practices across

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