About the job
About Us
At 3Y Health, we are revolutionizing healthcare management through our innovative AI-powered business manager, designed to simplify the complexities of healthcare administration that consume nearly 40% of industry revenue. Our robust platform empowers clinician entrepreneurs to establish, operate, and expand their private practices. By equipping independent providers with cutting-edge AI and automation tools, we enable them to save valuable time, build thriving businesses, and provide superior care to their communities. Backed by over $200 million in funding from prominent investors such as Founders Fund, General Catalyst, SoftBank, and 8VC, 3Y Health is at the forefront of healthcare innovation.
About the Role
We are on the lookout for a talented Staff Software Engineer - Backend who will be pivotal in designing and scaling high-performance backend systems that drive our AI-first platform. The ideal candidate will possess a significant background in developing distributed services using languages like Go, Java, Python, or TypeScript. A deep understanding of modern API design and communication protocols (such as REST, gRPC, GraphQL) is essential, along with a commitment to delivering reliable, secure, and scalable infrastructure.
We're particularly interested in candidates who have experience with services that support AI functionalities—whether integrating external AI APIs, managing ML inference pipelines, or building data infrastructure for model training. You won't just be a code contributor; you will care about the deployment, monitoring, and management of your systems in production. Bonus points if you have experience in regulated data environments like healthcare or fintech.
This position requires a hands-on engineer who thrives in collaborative, cross-functional environments, working effectively with product and frontend teams while proactively building for scalability, compliance, and maintainability.
Responsibilities
Design and implement scalable backend services and APIs (REST, gRPC, GraphQL) that are integral to our AI-driven healthcare platform.
Collaborate closely with frontend, product, and design teams to translate product requirements into robust technical solutions.
Integrate AI capabilities into services by building pipelines, managing inference processes, or orchestrating external AI APIs.
Ensure service reliability by implementing best practices in deployment, monitoring, logging, observability, and continuous integration.
Operate production systems end-to-end, encompassing deployment, incident response, performance tuning, and cost optimization.
Handle sensitive and regulated data (healthcare, payments) with a strong emphasis on security, privacy, and compliance.

