Function as a Technical Lead across multiple teams in Payroll Services, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals Design, build, and test the foundation that supports compliant payroll for millions of people Help scale one of the largest Ruby/ Rails and Type. Script/ React applications in the world Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams Mentor and grow fellow engineers working to create holistic and scalable solutions Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy Improve the productivity and happiness of our teams with the services, tools, and APIs you build. Engage in a highly supportive environment working with others to drive productivity and innovation Continuously stay up-to-date with advancements in AI and Machine Learning, applying this knowledge to our projects. Here’s what we're looking for: Successful applicants typically have at least 15 years of experience Able to build maintainable, structured, well-documented code Strong knowledge of data structures, data modeling, and system design Experience working across 3 teams, influencing both product and team direction Experience working on platform products which are depended upon throughout the company Experience engineering, designing, building and supporting large scale systems in production An aptitude in bringing clarity and simplicity to complex problems, communicating technical complexity and facilitating informed tradeoffs to major stakeholders Experience operationalizing and scaling large interconnected production systems Enthusiasm for a collaborative, test-driven environment Experience in complex highly regulated domains Examples: HR, Payroll, Taxes, or Compliance Experience using AI tools to build, test, and iterate on products quickly. Understanding of how to evaluate AI-driven outputs using clear success criteria. A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches. Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation. Our cash compensation amount for this role is targeted at $215,000/yr to $252,000/yr in Denver & most remote locations, and $251,000/yr to $295,000/yr for San Francisco, Seattle & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.#LI-DNI Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.