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Offer 199 out of 365 from 08/09/23, 11:22

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Helm­holtz-Zen­trum Dres­den-Ros­sen­dorf e.V.

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 70 nations at one of our six research sites!

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.

CASUS is looking for a Professional Support (f/m/d) - Cloud Backend in the area of backend development for cloud-based data repositories and data analytics platforms.

Professional Support (f/m/d) - Cloud Backend

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.

Working field:

  • 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
  • Develop, extend and administrate cloud backends according to the needs of application cases

Requirements:

  • 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 Linux-based 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, …)
  • 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)

What we 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
  • 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 work-life balance with the possibility of part-time employment, mobile working and flexible working hours
  • Numerous company health management offerings
  • Employee discounts with well-known providers via the platform Corporate Benefits
  • An employer subsidy for the "Deutschland-Ticket Jobticket"

How to apply:

Kindly submit your completed application (including cover letter, CV, diplomas/transcripts, etc.) only via our Online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=70014