Staff Software Engineer, Payments / Risk

Gusto Gusto · Fintech · New York, NY +1 · Engineering

Staff Software Engineer for Gusto's Payments or Risk platforms. This role involves designing, building, and testing core money movement or risk platform services, mentoring engineers, and collaborating with cross-functional teams. The role requires experience in full-stack development, scaling platforms, and leveraging AI tools to accelerate development and deliver new capabilities. The primary focus is on engineering the core business engine and enabling product teams with reliable backend services.

What you'd actually do

  1. Design, build, and test Gusto core money movement or risk platform services – payment rails, ledgering, wallets, fraud, decisioning engine, KYC, AML, 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, Design, and financial operations teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch
  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 money movement platforms
  • Curiosity and experimentation with emerging AI frameworks
  • evaluate and scale AI use safely