# Senior Cloud / Data Engineer (Data / Reconstruction / HIPAA) at Midjourney

Senior Cloud / Data Engineer (Data / Reconstruction / HIPAA) at Midjourney in San Francisco and 1 more. On-site, full-time, paying $215k–$222k. Posted June 30, 2026.

- Company: Midjourney
- Location: San Francisco and 1 more
- Workplace: On-site
- Job type: Full-time
- Pay: $215k–$222k
- Posted: 2026-06-30
- Apply: https://jobs.ashbyhq.com/midjourney/91252521-6b67-4b59-9803-ff7a66615135/application
- Source: https://jobmagic.ai/jobs/senior-cloud-data-engineer-data-reconstruction-hipaa-midjourney-pd2370

## Requirements

- 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.

## Description

### What you’ll do

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

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

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

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

- 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.