Professional Support - Dresden, Deutschland - Helmholtz-Zentrum Dresden-Rossendorf

Helmholtz-Zentrum Dresden-Rossendorf

Geprüftes Unternehmen

Dresden, Deutschland

vor 1 Woche

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Through cutting-edge research in the fields of ENERGY, HEALTH and MATTER, Helmholtz-Zentrum Dresden-Rossendorf (HZDR) solves some of the pressing societal and industrial challenges of our time.

Join our 1.500 employees from more than 50 nations at one of our six research sites and help us moving research to the next level

The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research.

CASUS was founded in 2019 in Görlitz and conducts digital interdisciplinary systems research in various fields such as earth systems research, systems biology and materials research.

The Scope of Your Job:

Applicants (f/m/d) will work on the setup, development, deployment, maintenance and support of backend infrastructure for cloud-based data repositories and data analytics platforms.

Applications using the cloud backend range from AI analytics on federated patient data to large-scale open ecosystem data and analytics platforms.

The cloud architecture will be developed and maintained within the framework of the Helmholtz Infrastructure for Federated IT Services (HIFIS) in close collaboration with the local HIFIS support team.

The cloud hardware infrastructure consists of many-core CPU nodes, GPU nodes and storage nodes as well as the accompanying server and network infrastructure and is located on HZDR premises.

Applicants will be part of the CASUS Professional Support team and work in close collaboration with the HZDR Department of Information Services and Computing.

Your tasks:

Develop, set up, deploy and maintain cloud backend architectures for federated data repositories
Develop, set up, deploy and maintain cloud backend architectures for federated data analytics platforms, including scalable solutions for Machine Learning and Artificial Intelligence workflows
Support scientists and other users in using the cloud solutions

Your profile:

An excellent Master's or PhD degree in Computer Science or equivalent
A proven track record of at least one year in working on cloud backend architectures
Proven experience in using and administrating Linuxbased cloud architectures
Preferably experience in at least one or more of the following areas:

Open Stack & subsystems; Virtualization & containerization; Kubernetes; Authentication and Authorization Infrastructure; Federated services infrastructure; Continuous Integration / Continuous Deployment with GitLab/GitHub; JupyterHub infrastructure deployment and maintenance for data analytics in R and Python as well as for ML/AI workflows; Scripting and workflow systems; Relevant programming skills (Python, Bash, etc.)

Strong motivation to work in a collaborative environment
Excellent communication skills in English and in a professional context (presentation of results at meetings, colloquial discussions, writing of manuscripts)

Our offer:

A vibrant research community in an open, diverse and international work environment
Scientific excellence and extensive professional networking opportunities
A wide range of qualification opportunities and individual career counseling provided by the Postdoc Center HZDR-TUD
The employment contract is limited to two years with the possibility of longerterm prospects
Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
We support a good worklife balance with the possibility of parttime employment, mobile working and flexible working hours
Numerous company health management offerings
Employee discounts with wellknown providers via the platform Corporate Benefits

For any questions, do not hesitate to ask:
Dr. Michael Bussmann

Tel:
, ,

Mr. Daniel Kotik

Tel:

Place of work:

Görlitz

Working hours:

39 h/week

Deadline:

9 May 2023

Job-Id: 2023/69

Art der Stelle:
Vollzeit, Teilzeit, Befristeter Vertrag

Arbeitszeiten: