Platform Engineer — Kubernetes & AI Infrastructure

Platform Engineer — Kubernetes & AI Infrastructure

Remote anywhere in Germany | HQ in NRW | Work from anywhere for up to 180 days per year

This is not a "keep the lights on" DevOps role...

You'll be part of the team responsible for running and operating a large-scale AI platform used in complex customer environments --- including highly customised on-premise infrastructure deployments.

The challenge here isn't just Kubernetes.

It's making a highly distributed, containerised system reliably run in environments you don't fully control.

That means troubleshooting under pressure, improving deployment processes, working directly with customer-side infrastructure teams, and owning the operational reality of a production AI platform end-to-end.

You'll be working on systems running more than 1,000 containers in production across a large microservice architecture, helping improve everything from CI/CD pipelines and observability to runtime stability and deployment reliability.

This role is heavily focused on runtime operations, incident handling, and delivery infrastructure --- not feature development.

The Engineering Muscle You Bring

• Experience with Kubernetes or OpenShift
• Strong understanding of distributed systems and microservice architectures
• Experience with CI/CD tooling such as Jenkins, GitHub Actions, Ansible, or ArgoCD
• Experience with monitoring and observability tooling such as Grafana, Loki, Prometheus, OpenTelemetry, Dynatrace, or Instana
• Knowledge of technologies like Redis, Postgres, MariaDB, Kafka, Elastic, or Minio
• Strong troubleshooting and analytical skills
• Hands-on engineering mindset with a strong sense of ownership
• Fluent German and English communication skills

Why This Role Appeals to People Who Like Complexity

• Large-scale production systems with 1,000+ containers running live
• Complex Kubernetes and OpenShift environments
• Real operational ownership instead of pure maintenance work
• Challenging on-premise customer deployments
• Exposure to modern AI platforms and distributed architectures
• High-impact work with lots of technical depth and learning potential

Khalifa@thryvetalent.com