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# Software Engineer New York (Health-Tech AI)

- **Company:** - Turnblock.io
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Clinical Data Repository, Code Review, Data Infrastructure, Fault Tolerance, Software Engineering
- **Published:** October 13, 2026
- **Apply:** https://www.juju.com/job/16_fd408d7e4

## About the Role

* 6+ years of software engineering experience, ideally at a scaling B2B startup
 * Proven track record solving hard infrastructure or systems problems at scale
 * Experience (or strong interest) in healthcare, compliance, or regulated data environments
 * A communicator who can bridge technical and business thinking - you understand why the product decisions matter, not just how to build them
 * A natural mentor: you raise the bar for the engineers around you
 * Comfortable with ambiguity and frequent change; you thrive when the path isn't fully defined

## Description

We're recruiting on behalf of a Series A healthtech company that has built the first real-time AI medical review platform in the US - already serving over 250,000 providers across all 50 states. Backed by First Round Capital, Left Lane Capital, and Menlo Ventures with $16M+ in funding, the company is scaling fast and needs senior engineering talent to match.

This is a high-impact role where you'll tackle complex, ambiguous engineering challenges that directly improve the quality and safety of patient care at scale. You'll join an 8-person NYC engineering team and report to the CTO., * Designing and building highly scalable, fault-tolerant AWS-based systems to support rapid customer and data growth

 * Implementing AI-powered workflows to automate and optimise clinical data processing across thousands of healthcare providers
 * Mentoring and levelling up junior engineers through code reviews, architectural guidance, and hands-on technical leadership
 * Working closely with product to translate business problems into simple, effective system designs