IntelliPro Group Inc. Logo

IntelliPro Group Inc.

Front End Engineer (React) – Remote

Posted Yesterday
In-Office or Remote
Hiring Remotely in Toronto, ON
Mid level
In-Office or Remote
Hiring Remotely in Toronto, ON
Mid level
Build and own React and TypeScript features across SaaS products, from discovery through production and post-launch iteration. Integrate APIs, manage data flow, write automated tests, participate in code reviews, and collaborate with Product and Design. Contribute to component libraries, accessibility, responsive design, cross-browser compatibility, and front-end performance. The role also involves using AI coding assistants and working Pacific Time hours on a six-month remote contract.
The summary above was generated by AI

Front End Engineer (React) – Remote
Engagement: 6-month contract
Location: Remote
Working hours: Pacific Time (PST)

About the Client

Our client is a well-established technology company whose pricing and promotion software is used by some of the world's largest consumer goods brands. Its products help brands and retailers make data-driven decisions about how shoppers find value every day.

The Role

We're looking for a Front End Engineer to build features across a suite of React/TypeScript SaaS products in the retail analytics and promotions space. You'll work on both established applications and early-stage products still taking shape, shipping interfaces that are fast, reliable, and enjoyable to use.

You'll join a small, collaborative front-end team where your work is visible and has real impact. Expect meaningful ownership, a startup pace backed by the stability and resources of a large organization, and an AI-assisted development workflow.

Key Responsibilities

  • Design and build high-quality user interfaces in React and TypeScript across multiple SaaS products, from concept to production.
  • Own features end to end: discovery, scoping, implementation, testing, release, and post-launch iteration based on user feedback and data.
  • Partner with back-end engineers to integrate REST APIs and ensure correct data flow, performance, and reliability.
  • Use AI coding assistants to speed up development and explore solutions while maintaining code quality and security.
  • Write maintainable, well-tested code, including unit, integration, and end-to-end tests, and take part in code reviews.
  • Prototype and refine UI/UX with Design and Product, and contribute to shared component libraries and design system patterns.
  • Champion accessibility, responsiveness, and cross-browser compatibility, and monitor and optimize front-end performance.
  • Stay current with the React ecosystem and bring practical ideas that raise the bar for the team.

Required Qualifications

  • 3+ years of professional front-end engineering experience building production web applications.
  • 3+ years of hands-on experience with React and TypeScript in production.
  • Strong JavaScript (ES6+) fundamentals and experience with modern build tools such as Vite or Webpack.
  • Experience with state management (Redux, Context API, or similar) and client-side data fetching and caching.
  • Experience integrating REST and/or GraphQL APIs, including handling authentication, error states, and loading flows.
  • A track record of writing tests and shipping reliable, maintainable code in a collaborative codebase.
  • Proficiency with Git and team workflows (pull requests, code reviews, CI).
  • Clear communication with cross-functional partners, including Product, Design, and non-technical stakeholders.
  • Willingness to use AI tools in the development workflow with sound judgment and a focus on quality.
  • Ability to work PST hours.

Nice to Have

  • Daily hands-on use of AI coding assistants (e.g., Claude, Cursor, GitHub Copilot).
  • Experience with testing tools such as Vitest, Jest, Playwright, or Cypress.
  • Background in data visualization or analytics UIs (D3, Recharts, Vega) and comfort handling large datasets in the UI.
  • Experience contributing to or maintaining shared component libraries or design systems.
  • Open-source contributions or a public portfolio of code samples.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

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