Senior Cloud / Data Engineer

📋 Description

• Design and implement secure cloud pipelines for multi-terabyte scan data.
• Build orchestration for GPU-accelerated reconstruction with retry, idempotency, cost controls.
• Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived.
• HIPAA/PHI security: encryption, key mgmt, least privilege, audit logs.
• Build operational tooling: monitoring, alerting, runbooks, incident improvements.

🎯 Requirements

• Strong experience with cloud batch/queueing/orchestration and data pipelines.
• Experience shipping production systems that handle large data volumes and failure-prone networks.
• Practical security mindset: least privilege, secrets, audit logging, in compliant environments.

🎁 Benefits

• Building reliable data pipelines at scale with strong observability.
• Security + privacy by default: encryption, auditing, least privilege.
• Owning backend details: schemas, migrations, cost controls, retries.
• Understanding compute tradeoffs across hardware and cloud resources.