React Software Engineer II

JPMorgan Chase & Co.•Jersey City, NJ

17h•$123,500 - $150,000

About The Position

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within Commercial & Investment Bank - Market Monitor Team, you are part of an agile team that designs and delivers trusted, market-leading technology products in a secure, stable, and scalable way. As an emerging-to-intermediate member of the team, you execute software solutions through the design, development, testing, and technical troubleshooting of multiple components within a technical product, application, or system, with a strong emphasis on AI-enabled engineering practices, modern front-end delivery excellence, and GraphQL-first data access.

Requirements

Formal training or certification on software engineering concepts and 2+ years applied experience (or equivalent experience).
Strong hands-on experience building web applications with React + TypeScript, including component composition, hooks, and state management fundamentals.
Micro-frontend (MFE) experience (required), including understanding of independently deployable UI modules, runtime integration patterns, and operating in a multi-team environment with shared standards.
Experience working in or supporting an independent release cycle for UI components or applications, including CI/CD-driven releases and disciplined change management.
Experience with modern front-end testing and systematic debugging/troubleshooting, including unit/component testing (e.g., Jest + React Testing Library or equivalent) and exposure to e2e testing (e.g., Playwright or Cypress).
Demonstrated understanding of SDLC practices and CI/CD for front-end applications, including code review, automated quality checks, and release hygiene.
Working knowledge of building accessible and performant UIs (WCAG awareness, semantic HTML, basic profiling, bundle/perf considerations).
Hands-on experience using enterprise-authorized AI-assisted software development tools (coding, test creation, troubleshooting, documentation) with the ability to validate and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Nice To Haves

Experience contributing to or consuming a design system (component libraries, tokens, theming).
Familiarity with GraphQL client ecosystems (e.g., Apollo Client, Relay, or equivalent) and GraphQL-focused developer tooling (e.g., code generation for typed operations).
Familiarity with modern UI architecture patterns beyond MFE (SSR frameworks such as Next.js, BFF patterns).
Familiarity with web observability concepts (RUM, client logging, basic correlation with backend signals).
Demonstrated ability to improve test reliability, reduce regressions, and raise overall code quality within a team setting.

Responsibilities

Delivers UI features using React and TypeScript, aligned to a design system, front-end engineering standards, and secure coding practices.
Implements GraphQL-first client integrations to fetch and manage application data, including query/mutation design, variable management, caching strategies, pagination, error handling, and performance optimization.
Contributes to UI technical design (component architecture, state management patterns, GraphQL integration patterns, routing, and failure handling) and documents implementation details for maintainability.
Contributes to a micro-frontend (MFE) ecosystem, building independently deployable UI modules and integrating them with host applications using agreed standards (e.g., module boundaries, shared dependencies, routing and runtime integration patterns).
Supports an independent release cycle for UI modules by following strong SDLC practices (versioning, automated quality gates, release readiness checks, rollback strategies where applicable, and coordination with dependent teams).
Drives quality through automated testing (unit/component/e2e), accessibility practices, performance optimization, and client-side telemetry/monitoring with guidance from senior engineers.
Applies strong SDLC practices for UI delivery (code review discipline, CI/CD usage, linting/type checks, automated tests, quality gates) and helps reduce flaky tests and regressions.
Leverages enterprise-authorized AI-assisted development tools to accelerate refactoring, feature changes, debugging, test generation, and documentation, while validating AI outputs through human review, automated tests, and secure coding standards.
Applies responsible AI engineering practices in daily work, including safe handling of sensitive data in prompts/logs, injection-aware patterns for UIs that display generated content, and reliable failure modes (timeouts, fallbacks, graceful degradation).
Partners with backend engineers and product stakeholders to clarify requirements and deliver cohesive end-to-end experiences in a GraphQL-centric architecture.
Proactively identifies recurring issues (defects, UX pain points, performance bottlenecks) and contributes fixes and preventative improvements.