Staff Backend Engineer for Payroll Canada (AI-Driven)

certexamdb.com

Denver, San Francisco, New York (CO, CA, NY)

Hybrid

USD 163.000 - 204.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Gusto is hiring a Staff Software Engineer to join the Payroll Canada team. You will design, build, and scale backend services and business logic powering Canadian payroll, largely from scratch, with GraphQL exposure to the frontend.

You’ll own a core domain, collaborating with Product, Design, Data, Compliance, and Operations to deliver compliant, scalable payroll solutions. The role emphasizes backend development with strong systems thinking, and requires experience handling large codebases.

Qualifikationen

  • 8+ years of professional software engineering experience, with a strong focus on backend development.
  • Experience applying AI tools (LLMs, Claude Code, Cursor) to accelerate development and improve code quality.
  • Ability to design, build, and test production-grade code at scale.

Aufgaben

  • Design, build, and maintain backend services and business logic powering Canadian payroll on Ruby on Rails.
  • Connect backend to frontend via GraphQL APIs and collaborate with frontend engineers.
  • Own a primary domain within Payroll Canada and drive correctness, scalability and evolution.

Kenntnisse

Backend development
Ruby
GraphQL
AI tooling
Systems thinking
Cross-team collaboration
Full-stack ability
Software architecture
Production testing
Strong communication

Tools

Ruby on Rails

Jobbeschreibung

Gusto is hiring a Staff Software Engineer to join the Payroll Canada team. You will design, build, and scale backend services and business logic powering Canadian payroll, largely from scratch, with GraphQL exposure to the frontend.

You’ll own a core domain, collaborating with Product, Design, Data, Compliance, and Operations to deliver compliant, scalable payroll solutions. The role emphasizes backend development with strong systems thinking, and requires experience handling large codebases.

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