Senior Platform Engineer AI & Observability (m/f/d)

Leibniz-Rechenzentrum; Garching bei München; Hybrid; EUR 54,000 - 74,000; Full time

Benefits offered by this job

Mobile work up to 60%

Two-person offices

Free parking

Pension plan (VBL)

Modern work equipment

Discounted sports facility memberships

Job summary

Leibniz-Rechenzentrum in Garching near Munich seeks a Senior Platform Engineer AI & Observability to design, deploy, and operate scalable AI, observability, and cloud-native platforms based on Kubernetes and HPC technologies.

You will build AI services, LLM inference platforms, and GPU-enabled workloads, while implementing monitoring, logging, tracing, and security solutions using open-source tools. Collaboration with partners and technical leadership across architecture and operations are key.

Qualifications

• Master’s degree in Computer Science, Data Science, Computer Engineering, or a related field.
• 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.

Responsibilities

• 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.

Skills

Linux

Docker

Kubernetes

Cloud-native

Observability

Python/Go/Bash

DevOps/MLOps

Communication

English

Education

Master’s degree in CS/DS/CE

Tools

Prometheus

Grafana

Helm

GitOps

CI/CD

Job description

Looking for an employer you can count on? Join us!

Senior Platform Engineer AI & Observability (m/f/d)

Your Role and Responsibilities

• 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.

Your Qualifications

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.

Conditions

Working time

full time (40 hrs)

flexible working model with electronic time recording

Contract duration

30.09.2029, a further employment is intended

Remuneration

up to E 13, see Entgelttabelle TV-L

Annual leave / compensatory time off

30 days

(24.12. + 31.12. additionally day off)

Overtime is compensated by additional time off

Benefits

Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement with Sports Facility Providers for Discounted Membership

What you can expect at LRZ

Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified (SGB IX).

About Us

Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.

by latest 23.10.2026.