Cloud Engineer* Data & AI
RemoteGermany or Home, Washington, United States
Job Summary
Orchestrate GPU clusters and automate pipelines for model training while structuring data platforms from storage architecture to lakehouse formats. Deploy and integrate tools like Airflow, Spark on Kubernetes, and Ray to ensure reliable production workflows, applying Infrastructure-as-Code and GitOps standards. Manage monitoring, incident handling, and GPU capacity planning while embedding security and data governance from the start. Leverage AWS, Azure, or Google Cloud environments with Terraform, ArgoCD, and Prometheus for scalable infrastructure. Support junior colleagues through mentoring and adapt your technical focus as project needs evolve.
Required Qualifications
- fundierte Kubernetes-Erfahrung im produktiven Betrieb
- tiefgehende Kenntnisse im Umgang mit einem der großen Cloud-Provider (AWS, Azure, Google Cloud, StackIT)
- Erfahrung mit Workflow-Orchestrierung
- Erfahrung mit Streaming
- Erfahrung mit GPU-Scheduling
- Erfahrung mit Model Serving
- Erfahrung mit Lakehouse-Plattformen
- Netzwerk-Härtung
- Security Best Practices
- Sehr gute Deutschkenntnisse (mind. C1)
- gute Englischkenntnisse
Desired Qualifications
- Lust, dich in die Bereiche Workflow-Orchestrierung, Streaming, GPU-Scheduling, Model Serving und Lakehouse-Plattformen einzuarbeiten
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