Jobs / United States / Hinge Health INC
Senior Software Engineer, Fullstack, Rewards & Incentives
Hinge Health INC · 🇺🇸 San Francisco-HQ
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 13 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 6 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Hinge Health INC paid sponsored hires in similar roles5 certified filings for “Senior Software Engineer - React Native” (Software Developers) in CA: $188k–$265k, median $214k. Most were filed at wage level IV (60%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Hinge Health INC
The US Department of Labor certified 13 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 6 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Hinge Health INC →
About the role
SENIOR SOFTWARE ENGINEER - FULLSTACK, REWARDS & INCENTIVES THE OPPORTUNITY Join RAIN—the Rewards & Incentives pod—as we build product experiences that help members form healthy habits and stay engaged with their Hinge Health care journey. Our mission is to use rewards, insights, and thoughtful product experiences to encourage behaviors that support members’ health goals. RAIN owns member-facing capabilities including points, achievements, streaks, challenges, tiers, and digital and physical incentives. We work across mobile experiences, backend services, experimentation, and operational tooling to make these experiences useful, reliable, measurable, and easy to evolve. As a Senior Full-Stack Software Engineer, you’ll own meaningful product work across the front end and backend, from technical discovery through production. You’ll work closely with Product, Design, Data, and Engineering partners to turn member needs into simple, reliable, and measurable solutions. WHAT YOU’LL ACCOMPLISH - Build and operate full-stack features using JavaScript, TypeScript, React Native, NestJS, and Node.js. - Own projects from technical design through launch, measurement, iteration, and ongoing maintenance. - Develop well-tested APIs, data models, and mobile experiences for rewards and incentives. - Translate product ideas into practical solutions and make thoughtful trade-offs between member value, quality, simplicity, and delivery speed. - Improve reliability through testing, observability, performance improvements, and production support. - Contribute to architectural decisions, technical documentation, code reviews, and reducing technical debt. - Use Claude Code and other approved AI tools as part of your development workflow. - Provide clear context, plan work, review generated changes critically, and validate behavior with tests and running code. - Mentor teammates and contribute to a collaborative engineering culture. - Participate in the team’s weekly on-call rotation, helping ensure the reliability and timely support of the systems we build. KEY PARTNERSHIPS You will work closely with: - Product, to define problems, shape roadmaps, prioritize work, and measure outcomes. - Design and User Experience, to create clear and motivating member experiences. - Data and Analytics, to design experiments, understand member behavior, and evaluate impact. - Adjacent Engineering, Platform, Quality, Security, Privacy, and Compliance teams to integrate services and deliver safe, dependable experiences. BASIC QUALIFICATIONS - Bachelor’s Degree (or equivalent) in Computer Science, Engineering or related technical field. - 3+ years of non-internship full-time professional software development experience. - Experience building and operating production software as a full-stack engineer. - Strong fundamentals in API design, data modeling, testing, debugging, and frontend development. - Ability to take ownership of ambiguous problems and deliver practical solutions incrementally. - Experience making technical decisions across service boundaries and explaining trade-offs clearly. - A product mindset and interest in connecting engineering work to member needs and measurable outcomes. - Clear communication and effective collaboration with cross-functional partners. - Good judgment when using AI coding tools, including providing context, reviewing generated code, and maintaining ownership of architecture, security, and maintainability. PREFERRED QUALIFICATIONS - Experience with machine learning, including training or fine-tuning models. - Experience integrating hosted machine-learning models in the cloud. - Experience with rewards, incentives, gamification, engagement, or other consumer-facing