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Midjourney

Senior Cloud / Data Engineer (Data / Reconstruction / HIPAA)

Posted One Month Ago
In-Office or Remote
Hiring Remotely in CA
Senior level
In-Office or Remote
Hiring Remotely in CA
Senior level
Design and implement secure, resumable cloud pipelines to ingest multi-terabyte medical imaging data; build GPU-accelerated orchestration with strong retry semantics and cost controls; define data lifecycle and retention; implement HIPAA/PHI security and compliance controls; and deliver operational tooling (monitoring, alerting, runbooks) for a device fleet.
The summary above was generated by AI
What you’ll do

  1. Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably.

  2. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls.

  3. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility.

  4. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews.

  5. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet.

What we’re looking for

  • Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability.

  • Experience shipping production systems that handle large data volumes and failure-prone networks.

  • Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments.

Useful experience

  • Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability.

  • Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails.

  • Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks.

  • Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.

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