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.