Staff Software Engineer, Core Platforms

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

Staff Software Engineer, Core Platforms at Gusto. This role focuses on building and scaling foundational product platforms, including services for communications, reporting, dashboards, access, workflows, risk, payments, and compliance. The engineer will mentor others, collaborate with cross-functional teams, and own the performance of platform services. While not directly building AI models, the role requires leveraging AI tools to accelerate development, improve testing, and deliver new capabilities, with an emphasis on curiosity and safe experimentation with emerging AI frameworks.

What you'd actually do

  1. Design, build, and test Gusto core platform services – communications, reporting, dashboards, access, workflows, risk, payments, and compliance capabilities, 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 Engineering, Product Management, Data, and Design teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch daily
  5. Build platforms that engineering teams rely on, and trust to deliver products that our customers genuinely love

Skills

Required

  • 8+ years of software development experience
  • Experience owning multi-quarter projects that solve complex engineering problems and make measurable user impact at scale
  • Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your platform 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

  • scalable, efficient platforms
  • Curiosity and experimentation with emerging AI frameworks