What You’ll Work On
- 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.
What We Look for in a Great Engineer
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.
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