AI platform engineer

Ensure the Bundeswehr’s digital future readiness together with us.

• Plan, build and operate scalable Kubernetes clusters with GPU support as the foundation for an AI service platform
• Optimize cluster resources for AI/ML workloads (scheduling, GPU management, scaling)
• Design, implement and review security policies
• Develop and implement an update, patch and recovery strategy
• Implement and operate monitoring and observability solutions (e.g. Prometheus, Grafana)
• Work closely in an agile, interdisciplinary team of data scientists, ML/AI engineers and full-stack software developers
• Support and mentor the development team on deployment, operations and the efficient use of Kubernetes

• Completed degree (Master’s or equivalent) in computer science, mathematics or a related field
• Several years of practical experience (at least 5 years) operating container and virtualization environments, with a focus on Kubernetes (ideally on-premises or hybrid cloud)
• In-depth knowledge of networking and security concepts in the context of Kubernetes and experience implementing security policies
• Experience providing and administering CI/CD pipelines (e.g. GitLab CI, Tekton, ArgoCD)
• Good understanding of DevOps principles and Infrastructure as Code
• Knowledge of administering SQL, NoSQL and vector databases
• Fluent German and very good spoken and written English
• Будет плюсом: Development and customization of Kubernetes operators, as well as experience with MLOps technologies (Kubeflow, MLflow, vLLM, NVIDIA Triton, DeepSpeed)

• Through varied and socially relevant work, we ensure the smooth operation of IT and the digitalization of the Bundeswehr
• We are united by our goal. Mutual respect and strong team spirit are essential to us
• We offer 30 days of annual leave, one additional day for a traditional local holiday, and options for individual adjustments
• Our benefits app provides a monthly allowance and lets you access additional tax benefits on public transport tickets
• We offer flexibility to help balance work and private life, for example through remote work or trust-based working hours
• We support professional and personal development through individual measures and free access to LinkedIn Learning
• Our JobRad offer lets you lease up to 2 bicycles
• The starting salary is generally between €71,000 and €91,650 gross per year. The specific amount is determined based on criteria such as qualifications, scope of responsibility and the requirements of the position. Justified deviations may be possible in individual cases