Lrz

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

Garching bei München, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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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:We are looking forward to receiving your complete application documents (including cover letter, CV and certificates) in a PDF file (other file types are not accepted) by latest 23.10.2026.
 
Subject: AI-Platform Research Infrastructure-Eng (2026/51)
 
Are you 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. 
This job does not fit? Then take a look at https://www.lrz.de/en/careers/current-vacancies or send us an unsolicited application!
Here you will find information about the collection of personal data during the application process. 
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Interview prep

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Mid
Technology & IT API integration Python Senior Platform Research Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior AI Platform & Research Infrastructure Engineer (m/f/d) role.
  2. How would you approach your first 30 days at Lrz?
  3. Which of API integration, Python and Senior have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Python and Senior.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior AI Platform & Research Infrastructure Engineer (m/f/d) role because I can bring practical experience in API integration, Python and Senior, learn the team quickly, and contribute to the outcomes Lrz needs from this hire.

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