We are seeking a Staff Engineer, React Web to join our Digital Engineering team and drive the technical direction of our enterprise-scale, multi-brand digital ecosystem. This role is focused on front-end architecture and engineering, with deep expertise in React, modern web application design, and enterprise-grade digital platforms.�
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As a Staff Engineer, you will shape how we design, scale, and operate customer-facing applications that power our global web presence. You will set the technical standard for performance, resiliency, security, accessibility, and maintainability in our React-based applications, while partnering closely with backend and product teams. Exposure to GitHub Copilot (or similar AI-powered developer tools) and Generative AI (GenAI) is a plus, particularly in driving productivity and innovative customer experiences.� �
RESPONSIBILITIES
Architecture & Systems Design�
Architect and evolve React-based enterprise web applications, ensuring scalability, performance, accessibility, and observability.�
Apply modern frontend patterns: micro-frontends, component-driven architecture, state management (Redux, Zustand, Recoil), and server-side rendering (Next.js).�
Define standards for integration with backend APIs (REST/GraphQL) and real-time event-driven services.�
Establish and enforce responsive design, accessibility (WCAG 2.1), and internationalization best practices.�
Optimize edge delivery and caching strategies (Cloudflare or other CDNs) for global performance.�
Ensure secure and seamless integration with identity management solutions (Auth0, Azure AD B2C).�
Explore and guide the integration of GenAI-driven capabilities in web applications, such as personalization, conversational UI, and intelligent search.�
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Delivery & Execution�
Provide hands-on technical leadership for CI/CD pipelines using GitHub Actions or Azure DevOps, with automated quality gates.�
Champion automation-first practices in frontend engineering: testing (Jest, React Testing Library, Cypress/Playwright), performance validation, and observability.�
Drive adoption of developer productivity tools such as GitHub Copilot or similar AI-assisted coding solutions.�
Establish coding standards, design system adoption, and code review practices across geo-distributed teams.�
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Collaboration & Influence�
Partner with backend architects and product managers to align on end-to-end application architecture, technical roadmap, and release strategies.�
Facilitate design reviews, proof-of-concept initiatives, and technical workshops.�
Influence decision-making across global teams to balance speed with platform sustainability.�
Partner with product, design, and data teams to identify GenAI use cases and integrate them into customer-facing web features.�
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Mentorship & Growth�
Mentor engineers in frontend engineering best practices, React ecosystem, design system adoption, and web performance optimization.�
Promote a culture of quality-first, automation-first, and innovation-driven engineering.�
Enable teams to design resilient, maintainable, and scalable web experiences that abstract vendor dependencies.�
EDUCATION AND EXPERIENCE QUALIFICATIONS
4 YEAR DEGREE AND/OR BACHELOR'S DEGREE IN COMPUTER SCIENCE OR RELATED FIELD
10+ years of professional software engineering experience, with 3+ years in a Staff/Principal/Lead role.�
Proven track record of delivering enterprise-scale, React-based web applications with global reach.�
Strong hands-on expertise in:�
React, Next.js, TypeScript, JavaScript (ES6+), HTML5, CSS3 (SASS, Tailwind, CSS-in-JS).�
State management libraries (Redux, Zustand, Recoil, or equivalent).�
Frontend performance optimization and Core Web Vitals.�
Experience integrating frontend applications with backend APIs (REST/GraphQL).�
Strong knowledge of CI/CD pipelines, GitHub Actions, testing frameworks, and automation practices.�
Experience with GitHub Copilot or similar AI coding assistants for productivity.�
Experience working in agile environments with geo-distributed teams.�
Understanding of secure authentication and customer identity management (Auth0, Azure AD B2C).�
KNOWLEDGE, SKILLS, AND ABILITIES
Exposure to Generative AI (LLMs, embeddings, AI-driven personalization, conversational UIs).�
Experience with multi-tenant or multi-brand digital platforms.�
Familiarity with design systems (Storybook, Material UI, or similar).�
Experience with observability platforms (Datadog, Application Insights, Grafana, Prometheus).�
Strong ability to communicate technical trade-offs to executives and engineers.�
Awareness of responsible AI practices (cost, bias mitigation, governance).�
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