Senior Software Engineer, Core Systems

True; San Francisco (CA); On-site; USD 215,000 - 275,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

San Francisco-based healthtech company seeks a backend engineer to own and evolve data ingestion, warehousing, and distributed AI model inference infrastructure on AWS. You will design, build, and operate scalable systems with reliability and security emphasis, including HIPAA-conscious data handling.

You will implement CI/CD, collaborate with ML engineers on model inference pipelines, and drive cost-aware design in a lean team.

Qualifications

• 5+ years of experience in data infrastructure, backend engineering, or distributed systems.
• Production experience designing and operating large-scale distributed systems on AWS or a comparable cloud.
• Proficiency in a backend language such as Go, Python, or Java.
• Depth in data infrastructure, including large-scale pipelines, ETL, data warehouses or lakes, and schema evolution.
• Experience with CI/CD, deployment automation, and troubleshooting complex distributed systems, including performance, cost, security, and maintainability tradeoffs.
• Experience leading multi-quarter technical initiatives across systems or teams, as well as working on a small, fast-moving team.
• Exposure to ML infrastructure or model inference pipelines and HIPAA-conscious system design is valuable.
• TypeScript, React, Docker, and strong computer science or STEM fundamentals are relevant.

Responsibilities

• Design, build, and operate backend infrastructure across data ingestion, warehousing, and distributed model inference on AWS.
• Own reliability, observability, debugging, and capacity planning across the stack.
• Build CI/CD and deployment automation that helps a lean team ship safely and efficiently.
• Design systems that handle protected health information with encryption, access controls, and audit logging.
• Collaborate with the ML team on ML infrastructure and model inference pipelines as priorities require.

Skills

Go

Python

Java

TypeScript

React

Docker

AWS

Tools

CI/CD

Job description

ABOUT THE ROLE

Join a small engineering team at an early-stage healthtech company building a radiology-as-a-service platform. You will own and evolve the backend infrastructure for data ingestion, warehousing, and distributed AI model inference.

WHAT YOU'LL DO

• Design, build, and operate backend infrastructure across data ingestion, warehousing, and distributed model inference on AWS.
• Own reliability, observability, debugging, and capacity planning across the stack.
• Build CI/CD and deployment automation that helps a lean team ship safely and efficiently.
• Design systems that handle protected health information with encryption, access controls, and audit logging.
• Collaborate with the ML team on ML infrastructure and model inference pipelines as priorities require.

WHAT WE'RE LOOKING FOR

• At least 5 years of experience in data infrastructure, backend engineering, or distributed systems.
• Production experience designing and operating large-scale distributed systems on AWS or a comparable cloud.
• Proficiency in a backend language such as Go, Python, or Java.
• Depth in data infrastructure, including large-scale pipelines, ETL, data warehouses or lakes, and schema evolution.
• Experience with CI/CD, deployment automation, and troubleshooting complex distributed systems, including performance, cost, security, and maintainability tradeoffs.
• Experience leading multi-quarter technical initiatives across systems or teams, as well as working on a small, fast-moving team.
• Exposure to ML infrastructure or model inference pipelines and HIPAA-conscious system design is valuable.
• TypeScript, React, Docker, and strong computer science or STEM fundamentals are relevant.

COMPENSATION & BENEFITS

Base salary range: $215,000 to $275,000 annually. Visa sponsorship is available.

LOCATION

On-site in San Francisco, California, United States.