About 3Y Health
At 3Y Health, we’re convinced that clinician entrepreneurs are the future of healthcare.
Our platform is designed to empower providers to build, launch, and grow their own independent practices. We offer the support, technology, and tools you need to succeed right from the start.
Whether you’re just launching or looking to expand, 3Y Health provides:
- A user-friendly Practice Management System (PMS) designed for ease and growth.
- Assistance with insurance contracts.
- Business operations support to simplify licensing, compliance, and administrative tasks.
- AI-driven solutions to streamline scheduling, documentation, and communication.
- A network connecting you to patients, partners, and resources to help you grow your brand.
Our mission is straightforward: to help clinicians turn their business aspirations into reality. We aim to reduce barriers, increase access to care, and foster a thriving healthcare system through independent ownership.
Ready to build the practice you’ve always envisioned? Join 3Y Health and build your practice, your way.
About 3Y Health
At 3Y Health, we’re building an AI business manager to simplify healthcare administration, aiming to tackle the complexity that currently consumes nearly 40% of the industry’s revenue. Our comprehensive platform empowers clinician entrepreneurs to launch, manage, and grow their own private practices. By providing independent providers with advanced AI and automation tools, we help them save time, build successful businesses, and ultimately deliver better care to their communities. We’re backed by over $200 million in funding from leading investors like Founders Fund, General Catalyst, SoftBank, and 8VC.
About the Role: Backend Engineer
We’re looking for a Backend Engineer to design and scale the high-performance backend systems that power our AI-first platform. You should have experience building distributed services in languages such as Go, Java, Python, or TypeScript. Deep familiarity with modern API design and communication protocols (REST, gRPC, GraphQL) is essential, along with 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.
Responsibilities
Here’s what you’ll be doing:
- 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 processes and create standard operating procedures 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.
Qualifications
- Bachelor’s degree required.
- 4+ years of experience in backend engineering roles.
- Proficiency in one or more backend languages: Go, Java, Python, or TypeScript.
- Deep knowledge of modern API protocols: REST, gRPC, GraphQL.
- Experience supporting production systems end-to-end: development, deployment, and monitoring.
- Bonus: Exposure to AI/ML services, whether through API integration or internal tooling.
- Bonus: Experience with regulated data domains like healthcare or financial services.
- Ability to work 3 days a week in our San Francisco or New York office with a fully in-person team.
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