Software Engineer

Software Engineer Location: San Francisco, CA We're building the intelligence layer of American healthcare. Our systems sit directly in critical workflows and power how clinical AI is delivered and used in practice. The work here translates into faster access to treatment and significantly less operational burden for healthcare teams. You'll be working on the core systems that make this possible. What We Look for in a Great Engineer You're a builder who holds yourself and others to high standards. You speak command line fluently, live and die by keyboard shortcuts, and are constantly looking for ways to increase your leverage through automation. This is a high-energy environment for people who want to build real systems that matter. Ownership: You don't hand off problems. You own them end to end, from understanding the problem to shipping production systems. Bias for Action: You won't wait for someone else to solve a problem you're in a position to solve. Automation Mindset: You're always looking for ways to move faster by automating repetitive or manual work. Complexity Management: You're good at building simple, durable abstractions over messy, real-world systems. Product Focus: You're comfortable working close to the product, talking to users, shaping requirements, and iterating quickly. What You'll Work On You'll primarily focus on backend systems, while contributing across the stack when needed to ship complete features. Backend Systems & Infrastructure Design and build high-performance, reliable systems that process and serve large-scale clinical data. Data Pipelines & Distributed Systems Build and operate systems that handle high-volume, asynchronous workloads using tools like Kafka and Temporal. Healthcare Integrations Build and maintain robust integrations with Electronic Health Records and other external systems. Core Product Logic Implement complex workflows across areas like Prior Authorizations and Patient Interactions. AI Integration Integrate and operationalize both in-house clinical AI models and external models in production systems. End-to-End Delivery When needed, work across APIs and frontend layers to ship complete, user-facing features. Technical Qualifications Strong experience building backend systems in TypeScript Experience working with distributed systems and data infrastructure such as PostgreSQL, Redis, Kafka, Temporal, or similar technologies Proven ability to design systems and manage complexity in production environments Bonus Experience with Kubernetes and infrastructure tooling such as Helm Environment High-ownership team building a category-defining company in healthcare In-person, five days per week in our San Francisco office Latent