Senior Cloud / Data Engineer (Data / Reconstruction / HIPAA)
San Francisco • FullTime
Posted 2mo ago
Job Location
San Francisco
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
We are seeking a Senior Cloud / Data Engineer to design and implement secure cloud pipelines for ingesting and processing very large scan datasets. This role involves building robust orchestration for GPU-accelerated reconstruction and analysis, ensuring reliability, idempotency, and cost controls. You will define the end-to-end data lifecycle for medical imaging, including retention policies and reproducibility. A key aspect of this position is implementing security and compliance primitives for HIPAA/PHI, such as encryption, key management, least privilege, and audit logs. You will also develop operational tooling for monitoring, alerting, and incident management to support a growing device fleet.
Responsibilities
- Design and implement secure cloud pipelines for ingesting large scan datasets.
- Build orchestration for GPU-accelerated reconstruction and analysis with retry semantics and cost controls.
- Define end-to-end data lifecycle for medical imaging, including retention and reproducibility.
- Implement security and compliance primitives for HIPAA/PHI.
- Build operational tooling for monitoring, alerting, and incident management.
Requirements
- Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability.
- Experience shipping production systems handling large data volumes and failure-prone networks.
- Practical security mindset (least privilege, secrets, audit logging) and comfort in compliance-constrained environments.
- Experience building reliable data pipelines at scale with strong observability.
- Experience with security and privacy by default, including encryption, least-privilege access, and auditing.
- Experience owning backend details like schemas, migrations, cost controls, retries, and runbooks.
- Understanding of compute tradeoffs across hardware options and specifying appropriate cloud resources.