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Garner Health

Software Engineer III

New York City, New York$194k–$220kfull-timemidAdded today

About this role

Garner seeks a Software Engineer III to build and optimize AI-powered systems that analyze healthcare data at scale. You'll work on distributed event-driven architectures processing billions of medical records while maintaining HIPAA compliance, operating in a fast-paced startup environment.

What you'll do

  • Design and maintain distributed event-driven systems processing large-scale healthcare data
  • Leverage AI to build, optimize, and maintain software infrastructure
  • Collaborate across cross-functional teams to understand healthcare domain requirements
  • Implement data security and HIPAA compliance best practices
  • Contribute to systems handling doubling annual load with AWS and Kubernetes
  • Mentor and drive technical excellence within the engineering team

What they're looking for

  • Distributed systems and event-driven architectures
  • Python, TypeScript, Go, or React
  • AWS and Kubernetes
  • Data security and HIPAA compliance
  • ETL/data pipeline tools (Airflow, dlt, dbt)
  • Generalist mindset with ability to learn new frameworks quickly
  • AI/ML integration and optimization
  • Healthcare domain knowledge (preferred)

Benefits

  • Flexible PTO
  • Medical, Dental, and Vision plan options
  • 401(k) retirement plan
  • Equity incentive participation
  • Teladoc Health and competitive benefits
  • Mission-driven work impacting healthcare at scale
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Garner Health

Garner Health builds healthcare analytics systems that process medical data at scale using AI and distributed architectures. The company is hiring Software Engineers and Data Engineers to develop mission-critical infrastructure, data pipelines, and business intelligence solutions while maintaining privacy and security compliance.

View all jobs at Garner Health

Likely interview questions

  • Describe your experience with distributed event-driven architectures and how you've scaled them under increasing load.
  • Walk us through a time you learned a new language or framework quickly in a fast-paced environment—what was your approach?