Full-Stack Platform Engineer for Reproducible Research VRE

Big Science Sweden

Genf

Hybrid

CHF 90.000 - 140.000

Vollzeit

Vor 13 Tagen
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Zusammenfassung

CERN is seeking a Software and Platform Engineer to build and operate the Virtual Research Environment on CERN's cloud infrastructure. You will harden Jupyter extensions into production-ready plugins and consolidate Helm charts for a unified deployment reference.

You will contribute to the integration of the VRE with the EOSC node and engage with user communities served by the Competence Centre. You will develop Python-based Jupyter extensions (JupyterLab/React) for Rucio, REANA, and Zenodo,

Qualifikationen

  • Bachelor's or Master's degree required; PhD not permitted.
  • Within application deadline, up to 2 years of professional experience since graduation.
  • Experience at CERN or with CERN services is a plus.

Aufgaben

  • Develop and operate the VRE on CERN's cloud infrastructure.
  • Hardening Jupyter extensions into production-ready plugins.
  • Consolidate VRE Helm charts for deployment reference.
  • Integrate VRE and Competence Centre into the EOSC node and engage user communities.
  • Develop and maintain Jupyter extensions (Python, JupyterLab/React) for SWAN notebook service.
  • Support Competence Centre activities through workshops, training, and documentation.

Kenntnisse

Software engineering
Platform engineering
Cloud infrastructure
Team collaboration

Ausbildung

Bachelor's or Master's degree

Tools

Python
Jupyter
JupyterLab/React
Rucio
REANA
Zenodo
HELM
Kubernetes/VirtualKubelet

Jobbeschreibung

CERN is seeking a Software and Platform Engineer to build and operate the Virtual Research Environment on CERN's cloud infrastructure. You will harden Jupyter extensions into production-ready plugins and consolidate Helm charts for a unified deployment reference.

You will contribute to the integration of the VRE with the EOSC node and engage with user communities served by the Competence Centre. You will develop Python-based Jupyter extensions (JupyterLab/React) for Rucio, REANA, and Zenodo,

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