Staff Software Engineer (Core AI Platforms)
Posted Updated
- We’re looking for seasoned full-stack software engineers to join the teams behind Gusto’s product platforms — the shared systems that our product teams build upon — to serve small business owners every day
- As a Staff Software Engineer, you’ll operate across the full lifecycle of foundational systems: shaping architecture early in the design process, building self-service internal features and APIs, and owning their performance long after launch
- That means engineering the core business engine, enabling product teams with reliable backend services, and setting the engineering standard for those around you
- Design, build, and test Gusto core platform services – communications, reporting, dashboards, access, workflows, risk, payments, and compliance capabilities, among others
- 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 Engineering, Product Management, Data, and Design teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch daily
- Build platforms that engineering teams rely on, and trust to deliver products that our customers genuinely love
Benefits
- Gender-affirming care and support
- Family care and support, including family planning and fertility benefits
- A variety of mental health resources
- Medical, dental, and vision insurance for employees and dependents
- Free meals and refreshments at the office (conversation and community is an added bonus!)
- Paid vacation, sick time, bereavement, and holidays, paid leaves, sabbatical, and more
- 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!
- Passion for creating scalable, efficient platforms for users
- 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 impact
- Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your platform area
- Experience owning multi-quarter projects that solve complex engineering problems and make measurable user impact at scale
- Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new platform capabilities
- Successful applicants typically have 8+ years of software development experience
- Experience in, or interest working in, Ruby on Rails
- Appreciation for a collaborative, test-driven environment
- Ability to build well-structured, maintainable, well-documented code
- Ability to effectively communicate across engineering teams and with business stakeholders
