Midjourney
Midjourney is a non-profit research lab that is investigating new thought mediums to improve the human species' inventive abilities.
- Open roles
- 20
- New role every
- ~3.9 days
Company signals
Score: 86Job facts
- Location
- San Francisco, California, United States of America
- Workplace
- Onsite
- Type
- Full-time
- Department
- Midjourney Medical
- Posted
- Jun 30, 2026
Last verified live 10 hours, 8 minutes ago · checked directly on the company's Ashby
More roles at Midjourney
- Principal Electrical Engineer (Design Lead) · San Francisco
- QA Analyst · SF or NY Hybrid
- Product Manager · San Francisco Bay Area Hybrid
- Engineering Manager · San Francisco Bay Area Hybrid
- Backend Engineer, Core Systems · San Francisco Bay Area Hybrid
- Backend Engineer, Product · San Francisco Bay Area Hybrid
Senior Cloud / Data Engineer (Data / Reconstruction / HIPAA)
at Midjourney
What you’ll do
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Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably.
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Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls.
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Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility.
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Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews.
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Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet.
What we’re looking for
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Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability.
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Experience shipping production systems that handle large data volumes and failure-prone networks.
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Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments.
Useful experience
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Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability.
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Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails.
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Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks.
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Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.