A specialized healthcare institution strives for continuous improvement in diagnostics and treatments, where data plays a central role. This includes rapid access to rich information and decision support in the consultation room, and access to large, high-quality datasets for AI applications in research. Robust and scalable cloud infrastructure is crucial in this regard, from secure data processing and storage to providing computing power for the latest AI models.
Within a department, a Data Lakehouse is being developed for central storage of medical data, forming the basis for digital transformation and supporting both care and research. Specific cloud technologies play a crucial role in this process.
What you will do.
- Develop and manage the core cloud infrastructure.
- Collaborate closely with Data Engineers and AI developers for the further development and management of various platforms.
- Develop and manage Infrastructure-as-Code and CI/CD pipelines.
Profile
- Minimum HBO/WO (higher professional education/university) thinking level in an IT-related field.
- Minimum 3 years of work experience with cloud platforms.
- Experience with Infrastructure-as-Code (e.g., Terraform, Bicep).
- Experience with programming languages such as Python or Go.
- Knowledge of network, security, and system administration concepts.
- Experience with CI/CD tools (e.g., GitHub, Azure DevOps).
- Problem-solving ability.
- Motivated and self-starting.
- Excellent command of the English language.
Preferences.
- Knowledge of/experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes).
- Relevant cloud certification (e.g., Microsoft Azure AZ-104).
- Experience with data tools (e.g., Azure Data Factory, Databricks, Dagster).
How to apply
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