Staff Software Engineer, Backend

3Y HealthSan Francisco, CA
20h$205,000 - $250,000Onsite

About The Position

We are seeking a Backend Engineer to design and scale high-performance backend systems that power our AI-first platform. The ideal candidate has experience building distributed services in languages such as Go, Java, Python, or TypeScript. You should be deeply familiar with modern API design and communication protocols (REST, gRPC, GraphQL), and have a passion for delivering reliable, secure, and scalable infrastructure. Ideally, you’ve worked on services that support AI functionality—whether through integrating external AI APIs, managing ML inference pipelines, or supporting data infrastructure for model training. You're not just a code contributor—you care about how your systems are deployed, monitored, and managed in production. Bonus points if you’ve worked with regulated data environments like healthcare or fintech. This role requires a hands-on engineer who thrives in cross-functional environments, collaborates effectively with product and frontend teams, and proactively builds for scale, compliance, and maintainability.

Requirements

  • Bachelor’s degree required
  • 5+ years of experience in backend engineering roles
  • Proficiency in one or more backend languages: Go, Java, Python, TypeScript
  • Deep knowledge of modern API protocols: REST, gRPC, GraphQL
  • Experience supporting production systems end-to-end: development, deployment, monitoring

Nice To Haves

  • exposure to AI/ML services, whether through API integration or internal tooling
  • experience with regulated data domains like healthcare or financial services

Responsibilities

  • Design and implement scalable backend services and APIs (REST, gRPC, GraphQL) that power our AI-driven healthcare platform
  • Collaborate with frontend, product, and design teams to translate product requirements into robust technical solutions
  • Integrate AI capabilities into services—building pipelines, managing inference, or orchestrating external AI APIs
  • Ensure service reliability by implementing best practices in deployment, monitoring, observability, logging, and continuous integration
  • Operate production systems end-to-end, including deployment, incident response, performance tuning, and cost optimization
  • Handle sensitive and regulated data (healthcare, payments) with strong attention to security, privacy, and compliance
  • Document technical process and create standard operating procedure within the engineering team
  • Drive backend architecture decisions, influencing system design, data models, and service interfaces
  • Mentor and elevate team capability, sharing best practices and helping to scale backend engineering excellence
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