Senior Platform Engineer AI & Observability (m/w/x)
Building AI and observability platforms on Kubernetes and HPC for research IT. Experience with Linux, Docker, and cloud-native technologies required. 30 days vacation, additional holidays, and up to 60% mobile work.
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Anforderungen
- Master’s degree (or equivalent) in Computer Science, Data Science, Computer Engineering, or 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
- 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
Aufgaben
- Design, deploy, and operate scalable AI, observability, and cloud-native platforms using 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.
- Provide technical leadership in architecture, implementation, and operations.
Berufserfahrung
Ausbildung
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Tools & Technologien
Benefits
- Flexible working model
- Overtime compensated by time off
- Up to 60% mobile work
- Flexible work schemes
- 30 days vacation
- Additional holidays (24.12., 31.12.)
- Two-person offices
- Public transport access
- Free parking
- VBL pension plan
- State-of-the-art work equipment
- Advanced technical equipment
- Discounted sports facility membership
- Creative leeway
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and HumanitiesÜber das Unternehmen
The company provides IT expertise for research data management and supports digital transformation in science.
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