TL;DR

Retirement Developer Infrastructure Engineer (AI): Building and owning systems to support Gusto's Retirement engineering teams with an accent on AI-powered tooling, CI/CD pipelines, and infrastructure services. Focus on creating force-multiplying automated solutions and shaping long-term platform strategy to enhance overall developer productivity.

Location: Must be based in the United States; hybrid roles require 2-3 days per week in Denver, San Francisco, New York, or Seattle/San Jose metro areas.

Salary: $175,000–$245,000 per year, depending on location and experience.

Company

Gusto is a fintech platform supporting small businesses with payroll, benefits, and HR services.

What you will do

  • Build and maintain AI-powered developer tooling, LLM-integrated workflows, and automation.
  • Design and manage end-to-end CI/CD systems, deployment pipelines, and infrastructure services.
  • Identify and solve developer productivity bottlenecks through scalable automation and process improvements.
  • Collaborate cross-functionally to drive architectural investments and raise engineering quality standards.
  • Maintain high-availability infrastructure and ensure robust observability for production systems.
  • Write reliable, well-tested code while mentoring teammates to improve engineering culture.

Requirements

  • 8+ years of software engineering experience in production-grade platforms or products.
  • Proven background in CI/CD, infrastructure automation, and developer-facing tools.
  • Experience delivering AI-powered tooling, coding assistants, or LLM-based integrations.
  • Deep understanding of high-availability systems, database performance, and reliability engineering.
  • Must be legally authorized to work in the United States.
  • Pragmatic mindset with comfort in Ruby on Rails or ability to ramp up quickly.

Culture & Benefits

  • Comprehensive health and wellness benefits.
  • Flexible work environment with hybrid options and remote flexibility.
  • Strong commitment to equal opportunity and diverse hiring practices.
  • Emphasis on AI-native engineering culture and technical mentorship.
  • Support for professional growth through technical strategy and investment planning.