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Hinge Health is seeking a Staff Software Engineer to lead the architecture and technical direction of Member Records, a care-team-facing context layer within CareHub that consolidates member history, clinical context, active programs, device status, onboarding progress, and program transitions. This role combines hands-on technical leadership with end-to-end product ownership.
You will architect and deliver complex, cross-service initiatives from discovery through production, establishing durable technical patterns for APIs, domain models, integrations, testing, observability, and secure handling of member data. You'll set multi-quarter technical direction in partnership with engineering and product leadership, mentor junior engineers through code reviews and pairing, and integrate AI technologies to enhance product capabilities.
Key responsibilities include leading end-to-end delivery of Member Records initiatives, defining meaningful health metrics and improving incident response, raising the engineering bar through high-quality design and mentorship, and strengthening operational ownership. You will work across user interface, backend services, APIs, and data models, partnering with Product, Design, Clinical, Quality, and adjacent engineering teams to turn complex healthcare workflows into reliable, intuitive experiences.
The role is Bengaluru-based with a hybrid model requiring 3 days/week in-office. Regular collaboration with San Francisco colleagues is expected, including meetings during late evening India Standard Time (8am–6pm PT).
REQUIREMENTS:
- Bachelor's degree in Computer Science or related technical field
- 9+ years professional software engineering experience with meaningful production software delivery
- 3+ years hands-on TypeScript and modern React application development
- 3+ years backend experience with Node.js, service development, API design, and integration patterns
- 1+ years mentoring and leading junior team members, collaborating with cross-functional teams, and contributing to project planning and decision-making
- Experience with AI tools such as GitHub Copilot or Cursor
PREFERRED QUALIFICATIONS:
- Full-stack engineer with strong backend technology experience (Node.js, RDBMS)
- Exposure to microservices, distributed systems, containerization
- Ownership of features from technical design through launch and production support
- Strong understanding of testing, observability, performance, availability, and secure development practices
- Ability to communicate technical decisions to technical and non-technical partners
- Collaborative, product-minded approach in remote, cross-functional environments
- Familiarity with AI-assisted software development or integrating AI capabilities into production workflows
