Full-Stack Engineer – Open Science VRE Platform

CERN

Genf

Hybrid

CHF 59.000 - 65.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Monthly stipend (CHF 5266–5793)
30 days leave + 2 weeks annual closure
Health insurance coverage
CERN Pension Fund
Relocation package
On-the-job training & language courses

Zusammenfassung

CERN operates a cutting-edge virtual research environment platform and related services. You will work on building and maintaining Jupyter extensions, contributing to the auth layer, and enhancing production-ready Helm charts within a hybrid CERN Kubernetes setup.

You will engage with Rucio, REANA, Zenodo, and CVMFS ecosystems, collaborate across teams, and help deploy scalable, reproducible analysis tools for researchers in Europe.

Qualifikationen

  • Experience with Python and Linux development environment.
  • Familiarity with container tech (Docker) and Kubernetes (Helm).
  • Knowledge of Git and CI/CD practices.
  • Exposure to authentication/AAI tech (OAuth2/OIDC, INDIGO IAM).
  • Open-source contributions and ability to learn new tech.

Aufgaben

  • Develop and maintain Jupyter extensions for Rucio, REANA, and Zenodo in production.
  • Support Competence Centre through workshops, training, and documentation.
  • Contribute to authentication/authorisation layer aligning with federated-identity standards.
  • Review and consolidate VRE Helm charts with monitoring and metrics.

Kenntnisse

Python
Git
Docker
Kubernetes
Linux
Helm
GitOps
Prometheus
JupyterLab
React
Rucio
REANA
Zenodo
CVMFS
OAuth2/OIDC
INDIGO IAM
Kubeflow
Open Source
English

Ausbildung

Bachelor's or Master's degree

Tools

Docker
Kubernetes
Helm
Git
JupyterHub/JupyterLab
React
Rucio
REANA
Zenodo
CVMFS

Jobbeschreibung

CERN operates a cutting-edge virtual research environment platform and related services. You will work on building and maintaining Jupyter extensions, contributing to the auth layer, and enhancing production-ready Helm charts within a hybrid CERN Kubernetes setup.

You will engage with Rucio, REANA, Zenodo, and CVMFS ecosystems, collaborate across teams, and help deploy scalable, reproducible analysis tools for researchers in Europe.

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