Senior Data Infrastructure Engineer – Health AI

Epsilon Health; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

Epsilon Health in San Francisco is seeking experienced Software Engineers to design and operate the core infrastructure powering our medical imaging platform. You will own end-to-end backend systems, from data ingestion pipelines to distributed inference, and work across the stack with the ML team to keep production healthy and scalable.

You'll tackle architecture decisions, build robust data pipelines, ensure HIPAA-compliant handling of PHI, and contribute to reliability, observability, and

Qualifications

• 6+ years building data infrastructure, storage systems, or distributed systems.
• 2+ years leading large-scale projects or teams as an engineer or tech lead.
• Proficiency in a backend language (Go, Python, Java, or similar).
• Experience designing, building, and operating large-scale distributed systems or infrastructure (we use AWS) in production.
• Strong problem-solving skills and the ability to troubleshoot complex distributed systems.
• Can navigate complex technical tradeoffs between performance, cost, security, and maintainability.
• Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems.

Responsibilities

• Design, build, and operate infrastructure that deliver reliable end-to-end experiences from data ingestion through model output.
• Design and implement robust data pipelines and warehouses to collect, process, and store large-scale multimodal medical imaging data from both production traffic and offline sources.
• Build CI/CD and deployment automation that lets a lean team ship quickly and safely.
• Ensure systems handling PHI are HIPAA-compliant by design, with encryption, access controls, audit logging, and secure data handling throughout.
• Build model inference pipelines for live and offline traffic, and support ML infrastructure alongside the ML team as needs arise.
• Leading technical design, driving quality through design reviews and testing, and helping set engineering best practices on a lean team.

Skills

Backend language proficiency

Distributed systems design

Leadership experience

Problem solving

AWS production experience

Data pipelines

Tools

AWS

CI/CD tooling

Job description

Epsilon Health in San Francisco is seeking experienced Software Engineers to design and operate the core infrastructure powering our medical imaging platform. You will own end-to-end backend systems, from data ingestion pipelines to distributed inference, and work across the stack with the ML team to keep production healthy and scalable.

You'll tackle architecture decisions, build robust data pipelines, ensure HIPAA-compliant handling of PHI, and contribute to reliability, observability, and