Frontend Architect

Description

• Design and evolve micro-frontend infrastructure using Module Federation in React and Angular • Create and maintain shared NPM packages enforcing consistency and patterns across the organization • Drive architectural governance, review processes, and cross-functional alignment • Create developer tools and automation that streamline workflows and boost productivity • Build repeatable AI-assisted workflows for frontend implementation, browser testing, debugging, framework migrations, and delivery • Author technical documentation and mentor engineers through code reviews • Structure repositories, component libraries, documentation, and development environments for reliable engineering and coding-agent workflows • Establish shared UI patterns for AI-powered experiences, including streaming responses, progress visibility, cancellation, error recovery, and user approval • Establish component tests, browser automation, visual regression checks, and CI gates • Pilot workflows, measure delivery time, defects, reliability, and AI usage cost, and drive adoption • Partner with Security and AI platform teams on scoped access, secrets, sensitive data, and human review boundaries • Reduce bundle size and costs, lead framework migrations, and improve frontend latency and load times

Requirements

• At least 8 years of experience in frontend software development • At least 3 years of experience in frontend architecture with demonstrated organization-wide impact • Deep expertise with React and TypeScript; experience with Angular is highly valued • Experience with micro-frontend architectures (Module Federation, single-spa, Web Components, or similar approaches) • Strong knowledge of build tooling (Webpack, Vite, Rollup) and monorepo management • Experience with testing strategies (unit, integration, E2E) and establishing testing standards across teams, including component testing, browser automation, visual regression checks, and CI validation • Hands-on experience using AI coding tools to deliver production changes, with the ability to evaluate generated code, design effective validation, and explain where human review is necessary • Ability to demonstrate improvements in engineering delivery, quality, or reliability from AI-assisted workflows and drive adoption across teams • Practical understanding of scoped tool access, secrets, sensitive data, and accountability for AI-generated changes, in partnership with Security and AI platform teams • Strong verbal and written communication skills to effectively collaborate with team members and drive consensus across multiple teams • Nice to have: Experience with observability platforms, CDN optimization, Next.js or other meta-frameworks, CI/CD pipelines, and AWS

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