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This position was posted on April 14, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Software Engineer II

Garner Health, Inc.

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Software Engineer II at Garner Health, Inc. – a mission-driven role focused on transforming the healthcare economy by building data-powered systems that guide employees to higher-quality, lower-cost care.
• Day to day: Use AI to build, optimize, and maintain software systems; collaborate across disciplines to understand healthcare domain and iterate on projects; protect user privacy and security through industry best practices.
• About the team or company: Garner Health is a fast-growing healthcare technology company trusted by sophisticated employers and providers; engineering team analyzes billions of medical records using AWS + Kubernetes, embraces AI aggressively, and values cutting-edge practices and strong team culture.
• What the person can learn or achieve: Gain deep experience in AI-driven healthcare systems, scale engineering practices in a high-growth startup, contribute to meaningful healthcare impact, and grow technical expertise across Python, TypeScript, React, Go, Kubernetes, and AWS while working on systems that double in load annually.

Skills & Technologies

Python

TypeScript

React

AWS

Kubernetes

Remote

$138k-160k

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Garner Health, Inc.

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About Garner Health, Inc.

Garner Health operates a data-driven platform that identifies physicians with the best patient outcomes and steers employees to those providers. By analyzing billions of medical claims and clinical performance metrics, the company ranks doctors and negotiates preferred rates with employers and insurers. Employees access a free app that recommends top-performing providers nearby, offers price transparency, and covers out-of-pocket savings. The service aims to improve care quality while lowering employer healthcare costs through objective performance data rather than network discounts.

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