Senior AI Platform & Research Infrastructure Engineer (m/f/d)

Leibniz-Rechenzentrum; Garching bei München; Hybrid; EUR 65,000 - 85,000; Full time

Benefits offered by this job

Mobile Arbeit bis 60%

Kostenlose Parkmöglichkeit

Betriebliche Altersvorsorge (VBL)

Moderene Arbeitsausstattung

Sport-/Fitness-Discounts

Job summary

Leibniz-Rechenzentrum sucht eine Senior AI Platform & Research Infrastructure Engineer (m/f/d) zur Entwicklung und zum Betrieb einer föderierten KI-Plattform für Universitäten und Forschungseinrichtungen. Sie arbeiten an Web-Anwendungen, Backend-Services und Plattform-Komponenten für das KI-Modell-Lebenszyklus-Management.

Zu den Aufgaben gehören die Integration von AI-Middleware, Modellregistrierungen, API-Gateways, Authentifizierung sowie Multi-Tenant-Funktionen.

Qualifications

• Master-Abschluss in Informatik, Software Engineering oder AI oder vergleichbar.
• Berufserfahrung in Softwareentwicklung und verteilten Systemen.
• Gute Programmierkenntnisse in Python, Go oder ähnlichen Technologien.

Responsibilities

• Entwurf, Entwicklung und Betrieb einer föderierten AI-Plattform und Modellmanagement-Umgebung.
• Webanwendungen, APIs, Backend-Dienste und Plattform-Komponenten entwickeln.
• Middleware, Modell-Registries, API-Gateways, Authentifizierung und Multi-Tenant-Funktionen integrieren.
• Governance, Freigabe, Deployment, Monitoring und Automatisierung von AI-Services.
• Kubernetes-basierte, cloud-native Infrastruktur betreiben, inkl. CI/CD, Monitoring, Logging.

Skills

Python

Go

APIs

Databases

Cloud-native

Containers

Kubernetes

Englische Sprache

Education

Master-Abschluss in Informatik/verw. Bereich

Tools

Kubernetes

CI/CD

Cloud-Plattformen

Job description

Description

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

Senior AI Platform & Research Infrastructure Engineer (m/f/d)

• Design, develop, and operate a federated AI platform and model management environment for universities and research institutions.
• Develop web applications, APIs, backend services, and platform components for AI model lifecycle management.
• Build and integrate AI middleware, model registries, API gateways, authentication services, and multi-tenant platform capabilities.
• Implement governance, approval, deployment, monitoring, and automation workflows for AI services and models.
• Develop and operate Kubernetes-based cloud-native infrastructure, including CI/CD, monitoring, logging, and automation.
• Collaborate with research partners, platform operators, and stakeholders in a national research infrastructure environment.

Description

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

Senior AI Platform & Research Infrastructure Engineer (m/f/d)

Your Role and Responsibilities

• Design, develop, and operate a federated AI platform and model management environment for universities and research institutions.
• Develop web applications, APIs, backend services, and platform components for AI model lifecycle management.
• Build and integrate AI middleware, model registries, API gateways, authentication services, and multi-tenant platform capabilities.
• Implement governance, approval, deployment, monitoring, and automation workflows for AI services and models.
• Develop and operate Kubernetes-based cloud-native infrastructure, including CI/CD, monitoring, logging, and automation.
• Collaborate with research partners, platform operators, and stakeholders in a national research infrastructure environment.

Your Qualifications

Required/Minimum Qualifications

• Master's degree (or equivalent) in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

Other Requirements

• Professional experience in software engineering and distributed systems.
• Strong programming skills in Python, Go, or similar technologies.
• Experience with APIs, databases, cloud-native technologies, containers, and Kubernetes.
• Knowledge of authentication, authorization, identity management, and DevOps practices.
• Strong analytical, communication, and collaboration skills.
• Professional proficiency in English.

Additional or Preferred Qualifications

• Experience with AI platforms, LLMs, machine learning infrastructure, or model serving.
• Knowledge of multi-tenant platforms, API gateways, federated IAM, and OpenAI-compatible APIs.
• Experience with CI/CD, infrastructure automation, and platform operations.
• Familiarity with metadata standards, FAIR principles, or research infrastructures.
• Experience in higher education, research, public-sector, or open-source environments.

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).

Further information

Here you will find information about the collection of personal data during the application process.

If you are unsure whether the job suits you or you suit us? Or do you still have questions about this position? Our colleagues will be happy to answer all your questions.

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.