Quick Take
Lyft is hiring a Mid-level Frontend Software Engineer for its Operator Core Tooling team in Toronto. The role focuses on building critical operational interfaces using React, JavaScript, Node.js, and design systems. Candidates should have 3+ years of experience and strong web performance skills.
Role Overview
🏢 About Lyft
At Lyft, our purpose is to serve and connect. Lyft operates multimodal transportation networks across North America, bringing together ridesharing, bikeshare systems, and fleet management to deliver seamless urban mobility.
🎯 The Role
As a Frontend Software Engineer on the Operator Core Tooling pod, you will build the critical web applications and operations tools that empower Lyft's micromobility fleet management teams. You will work closely with business leaders, engineers, and data scientists across the organization to optimize operational workflows.
🛠️ Tech Stack
- Core Frameworks: React, JavaScript, Node.js, Express
- UI & Design: Custom Design Systems, Web Components
- Testing & Quality: Unit, Integration, and End-to-End testing frameworks
- Web Mechanics: Web Performance optimization, DOM architecture
💼 What You'll Do
- Architect and deliver readable, well-tested, maintainable frontend code.
- Shape product roadmap and technical architecture based on operational and business needs.
- Lead engineering initiatives from initial concept through execution.
- Conduct peer code reviews and propagate frontend engineering best practices.
- Participate in resolving ongoing incidents and optimizing application performance.
✅ What You'll Need
- 3+ years of professional software engineering experience.
- Deep mastery of modern JavaScript and web performance principles.
- Practical experience building complex web applications with React.
- Hands-on work experience with Node.js and Express services.
- Background working with scalable design systems.
- Proficiency in unit, integration, and E2E web testing.
🌟 Nice to Have
- Passion for micromobility and urban transit systems.
- Proven track record driving technical talks and sharing engineering practices across teams.