AI & Analytics DevOps Engineer Germany
Core
DevOps Engineer specializing in deploying and maintaining Generative AI/LLM applications on secure, on-premise national environments.
Role type
Senior DevOps Engineer (AI/ML Infrastructure)
Builds
Flagship AI & Analytics platforms (DAISEI, AgentHub, Quality Analytics) and LLM services
Domain
Aerospace Defense, Secure On-Premise AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, OpenShift, Docker, Podman, CI/CD pipelines, GPU resource management, Python, Bash, Go, BSI IT-Grundschutz compliance, air-gapped environment operations
Preferred skills
vLLM, GPU serverless runtimes, disaster recovery in air-gapped setups
Technologies
OpenShift, Kubernetes, Docker, Podman, Jenkins, GitLab CI, Prometheus, Grafana, Mistral AI
Responsibilities
Design and administer CI/CD pipelines for AI applications; ensure availability of local generative AI apps; interface with Security Office for compliance; create technical documentation and runbooks; participate in incident response for air-gapped setups; monitor and optimize GPU hardware usage.
Seniority
Senior, hands-on IC