We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Employee platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
4+ years of professional software engineering experience with strong front-end focus; experience leading projects and mentoring engineers.
Expert-level React (hooks, component composition, context, rendering behavior, concurrency patterns where applicable).Strong TypeScript (types as design, generics, strictness) and modern JavaScript fundamentals.
Deep experience with front-end tooling (Vite/Webpack, Babel/SWC, npm/pnpm/yarn, monorepos) and build/release pipelines.
Strong CSS skills (responsive design, CSS architecture, theming, scalable styling).
Advanced testing practices (Jest/Vitest, React Testing Library, Playwright/Cypress) with ownership of test strategy.
Accessibility expertise (WCAG/ARIA, keyboard navigation, screen readers, automated and manual testing).
Performance engineering and API integration (profiling, bundle splitting, SSR/CSR trade-offs, caching, Core Web Vitals; GraphQL/REST, error handling, pagination, client state).
Security and observability awareness (XSS/CSRF prevention, dependency hygiene, secure auth/session patterns, client-side logging/metrics, debugging production issues) plus MUST: proficiency with AI-assisted engineering tools (e.g., Copilot, Claude) with validation and secure practices.
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, 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; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities, and skills
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