Jobs / United States / Gusto INC
Staff Software Engineer, PEO Benefits
Gusto INC · 🇺🇸 Denver, CO - Hybrid; New York, NY - Hybrid; San Francisco, CA - Hybrid
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 44 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 7 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 Gusto INC paid sponsored hires in similar roles13 certified filings for “Software Engineer” (Software Developers) in CA: $210k–$250k, median $235k. Most were filed at wage level IV (62%) — 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 — Gusto INC
The US Department of Labor certified 44 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 7 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 Gusto INC →
About the role
About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy . AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: We're looking for seasoned full-stack software engineers to join Gusto’s PEO Benefits team. Gusto is standing up a Professional Employer Organization (PEO) — one of the biggest new bets in the company — and Benefits is the anchor of the offering. At the core is a national Master Health Plan that can unlock ~20–25% lower healthcare costs for small businesses through pooled purchasing power, something most PEOs can't pull off in year one. You'd be joining the engineering team building the systems that make that real. This is rare greenfield scope inside a company with real scale and real customers. You get to make foundational architectural decisions, not maintain someone else's. As a Staff Software Engineer, you'll operate across the full product lifecycle: shaping features from early spec and design through to launch and long-term iteration. That means writing clean frontend code, designing and building reliable backend APIs, influencing product direction, and taking ownership of what happens after a feature ships. If you're drawn to work that combines technical craft with real-world impact — helping power the livelihoods of millions using Gusto products — join us! Here’s what you’ll do day-to-day: • Design, build, and test the Gusto PEO Benefits experience - the benefits shopping and plan-recommendation flows, carrier integrations, MCP tools, agents that automate operational and customer support processes • Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale • Help scale one of the largest Ruby/Rails and Javascript/React applications in the world • Collaborate with our Product Management, Data, Design, and Platform Engineering teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch daily • Build products that our customers genuinely love Here’s what we’re looking for: • Successful applicants typically have 8+ years of software development experience • PEO Expertise (Preferred): 3+ years of experience with PEO, with direct experience building PEO flows in a high-growth environment. • Experience owning multi-quarter projects that solve complex engineering problems and make measurable customer impact at scale • Experience driving large, cross-functional projects end-to-end through ambiguity — scoping, sequencing, and unblocking without needing the problem pre-broken-down; aligning multiple stakeholders and working with multiple teams • Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new product capabilities • Curiosity and experimentation with emerging AI frameworks , applying and sharing best practices to evaluate and scale AI use safely across teams • Ability to mentor engineers to maximize their performance and impac