Research Data Infrastructure Engineer

Stellenbeschreibung:

Since 2020, DKFZ together with other academic institutions across Germany operates the German Human Genome-Phenome Archive (GHGA) as part of the national program for research data infrastructures (NFDI). GHGA acts as a national node within the federated European Genome-Phenome Archive and the European Genomic Data Infrastructure (GDI). Since 2025, GHGA data hubs also act as genome data centers within the German national sequencing program genomDE, making GHGA the largest research data infrastructure dedicated to genome research.

Your tasks:

  • Design, and manage deployments on Kubernetes clusters within our internal and commercial cloud infrastructure
  • Develop and maintain state-of-the-art/modern FastAPI-based microservices, ensuring automated and reliable deployment using Helm charts and Pulumi
  • Integrate API and metadata services for global European biomedical networks
  • Learn, follow, and contribute to global GA4GH standards like DRS (Data Repository Service), Beacon, LS AAI (Life Sciences Authentication and Authorization Infrastructure), and Crypt4GH
  • Collaborate closely with bioinformaticians, developers, data stewards, and international partners to support data sharing, research, and interoperability

Your profile:

  • MSc in computer science, bioinformatics, mathematics, physics, or similar background.
  • Alternatively a BSc or equivalent with several years of relevant professional experience.
  • Proven experience in DevOps and cloud infrastructure management using Kubernetes
  • Excellent problem-solving skills
  • Proficiency with administration and containerisation of Linux systems
  • Understanding of IT security practices and standards (e.g. ISO27001, BSI, secure infrastructure design)
  • Experience with Infrastructure as Code tools (e.g. Terraform, Pulumi) and Kubernetes deployment tools (e.g. Helm, ArgoCD)
  • Familiarity with DevOps practices and CI/CD
  • Experience or interest in microservices design patterns and domain-driven design
  • Experience with or interest in (meta)data interoperability standards and FAIR data principles
  • Experience with Authentication and Authorization Infrastructure (AAI) systems, including federated identity and access management (e.g. LS Login, ELIXIR AAI, OAuth2/OIDC)
  • Ability to work independently and collaboratively in an interdisciplinary research environment
  • Strong communication skills in English, with the ability to translate technical requirements for diverse stakeholders

Your possibilities:

  • Shape one of Germany’s most important scientific data infrastructures for health data
  • Contribute to interdisciplinary efforts, bridging cutting-edge research with clinical applications
  • Work with an interdisciplinary team of experts, bringing state‑of‑the‑art biomedical research closer to clinics and patients
  • Widen your expertise with extensive possibilities of training programs, seminars, and conferences

Benefits:

  • Excellent framework conditions: state‑of‑the‑art equipment and opportunities for international networking at the highest level
  • 30 days of vacation per year
  • Possibility of mobile work and part-time work
  • Family‑friendly working environment
  • Sustainable travel to work: subsidized Germany job ticket
  • Unleash your full potential: targeted offers for your personal development to further develop your talents
  • Our Corporate Health Management Program offers a holistic approach to your well‑being

We are convinced that an innovative research and working environment thrives on the diversity of its employees. Therefore, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion, and age. People with severe disabilities are given preference if they have the same aptitude.

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    22 Apr 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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