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A senior platform engineer at the Leibniz Supercomputing Centre (LRZ) designs, deploys, and operates AI, observability, and cloud-native platforms on Kubernetes and HPC, including LLM inference and GPU workloads, plus monitoring, logging, and security tooling. Core stack: Linux, Docker, Kubernetes, Python/Go/Bash, and open-source observability tech.
Designs, builds, and operates a federated AI platform and model-management environment for universities and research institutions — developing web apps, APIs, AI middleware/model registries, and Kubernetes-based cloud-native infrastructure with CI/CD, monitoring, and governance workflows. Core stack: Python/Go, Kubernetes, cloud-native and DevOps tooling.
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