Software Engineer (Backend)

Department: Engineering

Location: San Francisco

Compensation: $200K – $300K • Offers Equity

Employment Type: FullTime

Backend Engineer

Location: San Francisco, CA

The Mission: Join us in building the core infrastructure that enables the mass delivery of clinical AI across American healthcare. Your work will directly translate into improving patient outcomes by accelerating access to treatment and massively increasing operational efficiency for healthcare workers.

What We Look for in a Great Engineer

We are looking for builders who are highly proficient with their tools—you speak command line fluently and live and die by keyboard shortcuts. You hold yourself and others to high standards, love being part of a high-energy team, and are eager to master new technologies and clinical domains.

• Automation Focus: You love automating things and are always finding new ways to increase your own leverage.

• Ownership: You won't wait for someone else to solve a problem that you're in a position to solve; you're willing to jump into whatever needs to get done.

• Complexity Management: You excel at defining standards and inventing better ways to build simple, cogent abstractions to manage complexity.

What You'll Work On (Responsibilities)

As a Backend Engineer, you'll be responsible for the high-performance, high-reliability systems at the heart of our platform:

• Data & Integration: Design and build robust data pipelines and architect distributed systems to handle high-volume clinical data.

• EHR Integrations: Build and maintain core functionality to serve our product areas, focusing on seamless, reliable integration with disparate health systems and Electronic Health Records (EHRs).

• AI Integration: Integrate with and manage complexity from both in-house clinical AI models and external off-the-shelf models.

• Core Logic: Architect and implement complex business logic essential to workflows like Prior Authorizations and Patient Interactions.

Technical Qualifications & Environment

You should have significant experience building lots of different types of systems and solutions, and be ready to make an immediate impact.

• Primary Language: TypeScript

• Core Systems Experience: Deep familiarity with distributed systems technologies such as Redis, PostgreSQL, Temporal, and Kafka.

• System Architecture: Experience architecting distributed systems and managing complexity in a high-stakes environment.

• Bonus Points: Strong Kubernetes experience and the ability to work on Helm charts are a significant advantage.