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

Personio; Garching bei München; Hybrid; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Up to 60% mobile work for suitable and

Two-person offices

Free parking

Pension plan (VBL)

State-of-the-art equipment

Discounted Sports Facility memberships

Zusammenfassung

LRZ seeks a Senior AI Platform & Research Infrastructure Engineer to design, develop and operate a federated AI platform for universities and research labs. You will implement model lifecycle tooling, API gateways, authentication services, and multi-tenant capabilities.

You will build cloud-native infrastructure with Kubernetes, CI/CD, monitoring and automation, collaborating with researchers and platform operators in a national research setting.

Qualifikationen

• Master's degree in Computer Science, Software Engineering, AI, or related field.
• 5+ years in software engineering and distributed systems.
• Proficiency in Python and Go; strong API and cloud-native tech experience.
• Experience with authentication, identity management, and DevOps practices.

Aufgaben

• 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, deployment, monitoring, and automation workflows for AI services and models.
• Develop and operate Kubernetes-based cloud-native infrastructure, including CI/CD, monitoring, and logging.

Kenntnisse

Python

Go

Distributed systems

APIs

Kubernetes

Containers

Cloud-native

Identity management

Ausbildung

Master's degree in Computer Science/Software Engineering/AI

Tools

Kubernetes

Docker

APIs

Jobbeschreibung

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, seeEntgelttabelle 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).