Secure AI Infrastructure Engineer

We’re seeking a highly skilled engineer to design and implement secure, modular, and reproducible infrastructure for AI deployment in privacy-critical environments. Key responsibilities include:
- Advanced expertise in Linux environments (any distribution), including disk encryption, partitioning, and secure storage management.
- Handling medical imaging formats (e.g., DICOM) and integrating with imaging systems like PAPAYA 3D.
- Image preprocessing and validation using tools like pydicom or SimpleITK.
- Creating and managing synthetic datasets (text and image) for validation and simulation.
- Automated deployment via scripts with clear documentation for replicable setups.
- Managing remote access, shared storage (e.g., Samba), and system snapshots for rollback or backup.