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

Midjourney; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Midjourney is building the world’s first full-body ultrasound CT scanner and a spa experience to bring it to billions. We seek a backend engineer to design secure cloud pipelines ingesting very large scan datasets and to orchestrate GPU-accelerated reconstruction with strong retry semantics.

You will define end-to-end data lifecycle, implement HIPAA/PHI compliant security primitives, and build observability and runbooks for a growing device fleet.

Qualifications

• Experience with cloud batch/queueing/orchestration systems.
• Proven ability to ship production data pipelines handling large data volumes.
• Practical security mindset and HIPAA/PHI familiarity.

Responsibilities

• Design and implement secure cloud pipelines for multi-terabyte datasets.
• Build orchestration for GPU-accelerated reconstruction with retry semantics and cost controls.
• Define end-to-end data lifecycle and retention policies.

Skills

Cloud batch orchestration

Storage systems

Data pipeline reliability

Tools

GPU batch execution

Cloud orchestration tools

Job description

We’re building the world’s first full-body ultrasound CT scanner and the spa experience that brings it to billions.

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.

Details

• In-person in San Francisco, CA (hybrid possible situationally)
• Mission: build and launch the world’s first full-body ultrasound CT scanner, ultimately bringing safe, fast, and high fidelity preventative scanning to billions via a magical spa experience.