IT-System Developer (fmd) for Workflow & Data Infrastructure – Focus Environmental-Science (Clo[...]

Leibniz-Rechenzentrum der Bayerischen Akademie der Wissenschaften; Garching bei München; Hybrid; EUR 50.000; Vollzeit

Zusammenfassung

A leading research computing center in Germany is seeking a highly skilled professional for a role related to Research Data Management (RDM) that involves high-performance computing and cloud systems. The candidate will manage databases and implement workflows in a collaborative environment focused on Earth Sciences. Expected qualifications include a relevant Masters or PhD and expertise in Linux and Python. The position offers a flexible working model, promising a dynamic and supportive work atmosphere.

Leistungen

JobBike

Flexible working hours

Free parking

Pension plan

Professional development support

Qualifikationen

• Master's degree or PhD in computer science, engineering, or natural sciences.
• Several years of experience with Linux and command line (bash).
• Fluency in Python is mandatory.
• Basic familiarity with databases and object storage (S3, NFS).
• C1-level English and A2-level German.

Aufgaben

• Set up databases and middleware for data workflows.
• Implement computational workflows using Apache Airflow.
• Support and advance FAIR RDM in Earth Sciences.
• Contribute to administration of systems like VMs and containers.

Kenntnisse

Linux

Python

Database management

Virtualization frameworks

RESTful API

Git/GitLab

Ausbildung

Masters degree or PhD in relevant fields

Tools

Docker

Apache Airflow

Jobbeschreibung

Description

Description :

You are looking for an employer you can count on Join us!

Our team provides solutions for Research Data Management (RDM) in High-Performance and Cloud Computing and facilitates data-driven workflows with RDM across different computing systems. We are looking for a reinforcement in various current and upcoming projects in particular the EU-funded (Horizon Europe) Extreme Analytics for Mining Data Spaces ( ) and the National Research Data Infrastructure Consortium Earth System Sciences ( ). EXA4MIND brings together optimum database and storage set-ups supercomputing and data-sharing ecosystems for analytics NFDI4Earth the focus is on harmonising (meta-)data and workflow management approaches in the Earth System this position you have the opportunity to work with systems throughout the computing continuum from High-Performance Computing (HPC) clusters over Cloud systems and possibly even Internet-of-Things devices.

Your Role and Responsibilities

• set-up of optimum databases and data middleware for data-heavy workflows involving AI and supercomputing (iRODS MINIO / S3Proxy / VersityGW);
• implementation of computational workflows and data flows using Apache Airflow on Cloud-Computing and HPC systems;
• advancing and monitoring FAIR RDM in the Earth System Sciences (ESS) by user surveys and support and by co-developing a service architecture with NFDI4Earth;
• merging the experiences from the tasks above to support Environmental-Science workflows involving various data sinks and sources as well as (super-)computing systems;
• publications and reporting from the projects and contributions to follow-up research ideas;
• contributing to the administration of our systems (virtual machines containers).

Basic Qualifications

• Masters degree (with thesis) or PhD in computer science electrical engineering physics geology hydrology environmental sciences or any natural science.
• System management and scripting :
• several years of experience with Linux and fluency on the command line (bash)
• fluency and experience in Python
• basic familiarity with virtualization frameworks (Openstack Docker etc.)
• basic familiarity with databases object storage (in particular S3) and NFS;
• familiarity with source-code management (github gitlab).
• Familiarity with the concept of a RESTful API.
• C1- level knowledge of English.
• A2- level knowledge or higher of German.

Preferred Qualifications

• Experience with the administration of complex IT platforms.
• Familiarity with CI / CD workflows.
• Basic knowledge of web hosting and web technologies (Apache Nginx).
• Experience with simulation workflows in research High-Performance Computing / Data Analytics (HPC / HPDA).

Conditions

Area

FOR (Research and Development)

Working time

full time (40 hrs)

flexible working model with electronic time recording

Term of the contract

30.09.2026 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

Further trainings

Individual support for in-service training and further education

Mobile work

up to 60% of work time when applicable

Benefits

e.g. JobBike 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

What can you find with us

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.

Diversity and Inclusion

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 30.10.2025 .

Subject

RDM (2025 / 47)

Contact

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.

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Data Collection

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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.