Sr. Lead Software Engineer-Front End ReactWeb

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Employement Platform business you are an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Lead development of complex user-facing web applications using React TypeScript owning the front-end architecture and delivery approach.
• Lead and mentor a team of software engineers setting technical direction best practices and coding standards across the organization with a focus on Java-based cloud-first and API-first engineering principles.
• Partner with UX/Product to translate designs into polished experiences; influence requirements with feasibility performance and accessibility considerations.
• Establish and evolve front-end standards: component architecture state management routing code conventions and testing practices.
• Build using JPMCs EXDS UI foundations: design system / component library theming responsive layouts and cross-browser compatibility.
• Drive performance and quality: Core Web Vitals bundle optimization rendering strategies caching and runtime observability.
• Implement advanced UI capabilities such as rich data visualization real-time updates offline-friendly patterns and robust form/workflow experiences.
• Ensure secure client-side patterns: safe auth flows token handling guidance secure storage and protection against common web vulnerabilities.
• Collaborate with backend teams on API contracts (GraphQL/REST) and advocate for front-end friendly patterns (pagination filtering error models).

• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality delivery speed and operational outcomes (e.g. AI-assisted code review/refactoring test acceleration release readiness incident/root-cause analysis) while establishing measurable validation standards (secure coding peer review automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

• Applies knowledge of tools within the Software Development Life Cycle toolchain including approved AI-assisted development and automation capabilities to improve the value realized by automation at scale.

Required qualifications capabilities and skills

• 10 years of professional software engineering experience with deep expertise in front-end web development including leading projects and mentoring engineers.

• Expert-level proficiency in React (hooks component composition context rendering behaviour and concurrency-related patterns).

• Strong TypeScript and modern JavaScript skills including types-as-design generics and strict typing strategies.

• Deep experience with modern front-end tooling (Vite/Webpack Babel/SWC npm/pnpm/yarn) build/release pipelines and monorepos (where applicable).

• Strong CSS expertise including responsive design scalable architecture (CSS Modules CSS-in-JS utility frameworks) and theming.

• Advanced testing practices using Jest/Vitest React Testing Library and Playwright/Cypress with ownership of test strategy.

• Solid understanding of accessibility (WCAG/ARIA) including keyboard navigation screen readers and both automated and manual a11y testing.

• Strong experience in performance engineering (profiling code splitting SSR/CSR trade-offs caching) and API integration (GraphQL/REST schema design pagination caching and client state management).

• Awareness of web security (XSS/CSRF secure auth/session patterns dependency hygiene) front-end observability (logging metrics debugging) and mandatory proficiency with AI-assisted engineering tools (e.g. GitHub Copilot) to accelerate development while ensuring correctness and security.

• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding code review test acceleration troubleshooting) with the ability to set team expectations for validating AI outputs for correctness performance and security

• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.

• Experience with SSR/meta frameworks: / Remix and SEO considerations.
• Experience leveraging a design system (Storybook tokens).
• Experience with micro-frontend patterns and module federation (where relevant).
• Experience with visualization and rich UI: D3 Canvas/WebGL advanced tables/grids animation libraries.
• Familiarity with authentication integrations (OIDC/OAuth2) and enterprise SSO constraints.
• Proven track record modernizing legacy front ends and improving developer experience (DX).