Senior Software Engineer -Gradient Health (NC)

Gradient HealthDurham, NC

About The Position

Gradient Health is building the data infrastructure for medical AI. Their platform gives AI developers access to millions of de-identified medical imaging studies sourced from hospitals and clinics, so they can train better models on more diverse and representative data. Gradient works with hospital data partners on a revenue-share basis and sell curated, labelled datasets to AI companies and research teams. They’re growing fast at 5x YoY with a team of 50 people across Durham, Cape Town and Sao Paulo. They are led by exited founders Joshua Miller and Ouwen Huang and CTO Sai Cheemalapati (ex-Google). They all worked together at their previous startup FarmShots exited to Syngenta. The role Gradient is hiring a Senior or Staff Software Engineer reporting to the CTO Sai and eventually managing part of their 15 person engineering team. You’ll write code every day, take ownership of significant parts of the platform, and help shape how the team works as we scale. Within six months you’ll start mentoring junior engineers and leading the technical design on new product areas. The role stays hands-on — this is not a step away from coding. Success requires a highly entrepreneurial mindset and care to uplift others on the team.

Requirements

  • Around 6–9 years of software engineering experience as a hands-on IC.
  • Strong Python and comfort with cloud infrastructure (AWS or GCP), Postgres, and modern CI/CD.
  • Experience building production systems at scale, ideally including data pipelines or work with large unstructured data.
  • Experience working in earlier stage companies, ideally as one of the early engineers.
  • You’ve seen a team grow around you.
  • Strong opinions on code quality and a track record of mentoring more junior engineers.
  • You care about the customer.
  • You don’t need a healthcare background, but you do need to want to understand the people using what you build.

Responsibilities

  • Building and scaling the data pipelines that ingest, process, and serve medical imaging data.
  • Designing and shipping new product capabilities end-to-end.
  • Setting the engineering bar — code review, testing, architecture, deployment practices.
  • Talking to customers (radiologists, hospital data teams, AI researchers) and translating what you hear into technical decisions.
  • Mentoring junior engineers and helping the team grow as we hire.
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