Cloud Engineer

About the job Cloud Engineer — Kubernetes / Distributed Systems / AI Platform 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