AI platform engineer

Join us in ensuring the Bundeswehr's digital readiness for the future.

• Planning, building and operating scalable Kubernetes clusters with GPU support as the foundation of an AI service platform
• Optimizing cluster resources for AI/ML workloads (scheduling, GPU management, scaling)
• Designing, implementing and reviewing security policies
• Developing and implementing an update, patch and recovery strategy
• Implementing and operating monitoring and observability solutions (e.g. Prometheus, Grafana)
• Working closely in an agile, interdisciplinary team of data scientists, ML/AI engineers and full-stack software developers
• Supporting and mentoring the development team on questions relating to deployment, operations and the efficient use of Kubernetes

• Completed master's degree 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 in 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: An advantage, but not a requirement: developing and customizing Kubernetes operators, as well as experience with MLOps technologies (Kubeflow, MLflow, vLLM, NVIDIA Triton, DeepSpeed)

• Through varied and socially relevant tasks, we ensure the smooth operation of IT and the digitalization of the Bundeswehr
• We are united by our goal. A respectful way of treating one another and a strong team spirit are essential to us
• We offer 30 days of annual leave, one cultural holiday, plus options for individual adjustments
• Our benefits app provides a monthly allowance, and you can also receive tax benefits on public transport tickets
• We enable flexibility to 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 enables you to lease up to two bicycles
• The starting salary is generally between €87,700 and €113,150 gross per year. The specific amount is determined based on criteria such as qualifications, area of responsibility and the requirements of the position. Justified deviations are possible in individual cases