Staff Software Engineer, Core Products

Gusto Gusto · Fintech · Denver, CO +2 · Engineering

Staff Software Engineer role at Gusto focusing on core customer-facing products. The role involves the full product lifecycle, from design to launch and iteration, with a strong emphasis on building scalable solutions, mentoring engineers, and collaborating with cross-functional teams. While not directly building AI models, the role requires leveraging AI tools for development, improving testing, and delivering new product capabilities, along with experimenting with emerging AI frameworks.

What you'd actually do

  1. Design, build, and test Gusto core products such as Payroll, Benefits, HR, Retirement, Gusto Money, Gusto Solo, and Gusto Pro, among others
  2. Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale
  3. Help scale one of the largest Ruby/Rails and Javascript/React applications in the world
  4. 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
  5. Build products that our customers genuinely love

Skills

Required

  • 8+ years of software development experience
  • Experience building scalable solutions that eliminate customer pain
  • 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
  • Experience owning multi-quarter projects that solve complex engineering problems and make measurable customer impact at scale
  • Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your product area
  • Ability to mentor engineers to maximize their performance and impact

Nice to have

  • 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

What the JD emphasized

  • 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