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Software Engineer - Hybrid​/Bellevue, WA

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Brook Health
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

About Brook Health

Brook Health delivers care beyond the walls of the doctor’s office. Brook provides people living with chronic conditions a highly personalized experience enhanced by AI and powered by mobile apps, connected devices, and a team of health coaches and clinicians. We help people achieve their long‑term health goals by supporting smart, daily decisions and partnering with their primary care physicians.

Job Overview

The Software Engineer is a hands‑on role responsible for designing, developing, and maintaining software that powers Brook’s patient and provider platforms. We’re also looking for an AI pioneer
, who uses the latest frontier language models and coding tools extensively in daily development work, and spearheads new AI efficiencies in your team and product. This role works closely with Product, Data, and Care Delivery teams to deliver high‑quality, scalable, and secure technology solutions that support Brook’s mission of improving health outcomes through innovation. The Software Engineer participates in the full software development lifecycle—from architecture and design to implementation, testing, and deployment—and contributes to building a reliable, performant, and user‑focused platform.

This role reports to the Director, Engineering and is based in Bellevue, WA (Hybrid). Some travel may be required. All members of the Engineering team are based in the Pacific Time Zone to support real‑time collaboration and agile development.

Key Responsibilities
  • Software Design & Development:
    Design, implement, and maintain scalable, high‑performance applications and APIs for Brook’s digital health platform.
  • Apply AI and ML technologies:
    Embed AI and ML capabilities into production systems to enhance patient engagement, automate workflows, and deliver actionable insights to care teams.
  • Drive innovation:
    Stay current with emerging AI technologies and help our team stay on the leading edge as this field rapidly evolves. Propose new approaches that improve performance, scalability, and development efficiency.
  • Full Lifecycle Ownership:
    Participate in all stages of the software development lifecycle, including architecture, coding, code reviews, testing, deployment, and monitoring.
  • Cross‑Functional

    Collaboration:

    Partner with product managers, designers, and other engineers to translate business and clinical requirements into elegant, reliable solutions.
  • Quality & Testing:
    Write clean, testable, and maintainable code while contributing to automated test coverage and CI/CD pipelines.
  • Security & Compliance:
    Implement security best practices and ensure adherence to HIPAA, SOC 2, and Brook’s internal compliance standards.
  • Cloud Infrastructure:
    Contribute to deployment and infrastructure‑as‑code initiatives, optimizing application performance and cost within cloud environments (AWS preferred).
  • Documentation:
    Maintain clear, detailed documentation for systems, services, and architecture to support operational excellence.
  • Continuous Improvement:
    Participate in sprint planning and retrospectives, advocating for code quality, developer productivity, and system efficiency.
Knowledge, Skills, & Abilities
  • Proficiency in one or more backend languages such as Python, Go, or Java.
  • Working experience with current AI development tools, like Claude Code, Cursor, Windsurf, Git Hub Copilot. Practical use of frontier models and LLM families from Claude, ChatGPT, Gemini, Llama, or other.
  • Experience developing RESTful APIs, microservices, or distributed systems.
  • Understanding of frontend technologies (React, Type Script, or similar frameworks) is a plus.
  • Experience working with cloud environments (preferably AWS) and containerization tools such as Docker or Kubernetes.
  • Familiarity with relational and non‑relational databases (e.g., Postgre

    SQL, Mongo

    DB).
  • Strong knowledge of CI/CD pipelines, version control (Git), and automated testing practices.
  • Strong understanding of software architecture patterns and system design.
  • Effective communication and collaboration skills across cross‑functional teams.
  • Highly analytical, detail‑oriented, and committed to writing clean, maintainable code.
  • Demonstrated ability to thrive in a fast‑paced,…
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