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# Senior Platform Engineer AI & Observability

- **Company:** Leibniz-Rechenzentrum der Bayerischen Akademie der Wissenschaften
- **Location:** Garching bei München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bash Shell, Computer Engineering, Continuous Integration, Linux, DevOps, Python (Programming Language), Machine Learning, Prometheus, Security Information and Event Management, Data Logging, Cloud Platform System, High Performance Computing, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Grafana, Agentic-AI, Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Free and Open-Source Software, Ollama, Machine Learning Operations, VLLM, Model Inference, llama.cpp, Docker
- **Published:** October 5, 2026
- **Apply:** https://www.adzuna.de/details/5910335095

## About the Role

Required/Minimum Qualifications

 * Master's degree (or equivalent) in Computer Science, Data Science, Computer Engineering, or a related field.

Other Requirements

 * Experience with Linux, Docker, Kubernetes, and cloud-native technologies.
 * Knowledge of observability, monitoring, logging, tracing, and security concepts.
 * Programming and scripting skills, preferably in Python, Go, or Bash.
 * Experience with DevOps, MLOps, platform engineering, or infrastructure automation.
 * Strong communication, collaboration, and problem-solving skills.
 * Excellent written and spoken English.

Additional or Preferred Qualifications:

 * Experience with AI, machine learning, LLMs, or AI-assisted operations.
 * Hands-on experience with inference frameworks such as vLLM, Triton, Ollama, or Llama.cpp.
 * Experience operating GPU-accelerated, large-scale Kubernetes, or HPC environments.
 * Knowledge of Prometheus, Grafana, Helm, GitOps, and CI/CD.
 * Familiarity with RAG architectures, vector databases, MCP-based services, or AI agents.
 * Experience with security monitoring tools (such as Falco or Tracee).
 * Experience in research projects or open-source software development.

## Description

* Design, deploy, and operate scalable AI, observability, and cloud-native platforms based on Kubernetes and HPC technologies.
 * Build and optimize AI services, LLM inference platforms, and GPU-enabled workloads.
 * Develop and maintain monitoring, logging, tracing, and security solutions using open-source technologies.
 * Create standardized deployment workflows, automation, and platform best practices.
 * Enable reliable, secure, and multi-tenant operation of federated research infrastructures.
 * Collaborate with project partners and provide technical leadership in architecture, implementation, and operations.