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Salary
$27k – $79k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff
Overview
Company
Impact
Profile match
JPMorgan Chase & Co. is a leading global financial services firm and the largest banking institution in the United States by assets. Headquartered in New York City, the company offers a comprehensive range of financial solutions, including investment banking, asset management, treasury services, and commercial banking. Through its widely recognized consumer division, Chase, it delivers retail banking, credit card, and mortgage services to tens of millions of households across the globe.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the CONSUMER & COMMUNITY BANKING, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

  • Lead the design and delivery of complex web UI features using React and TypeScript, aligned to a shared design system and platform standards.
  • Define front-end architecture patterns (state management, API integration, error handling, routing, micro-frontend patterns where applicable) and drive adoption through code reviews and reference implementations.
  • Own UI quality and operational readiness: automated testing strategy, performance optimization, accessibility compliance, and production telemetry/monitoring.
  • Drive CI/CD maturity for UI (linting, unit/component/e2e tests, quality gates, build optimization, release automation) and improve developer productivity.
  • Use JPMorganChase-approved AI-assisted development tools (e.g., Claude AI where approved) to accelerate development/change work (refactoring, test generation, documentation) with rigorous human validation.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • 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.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Strong hands-on experience building enterprise web applications with React and TypeScript, including advanced component architecture.
  • Proven ability to lead UI technical design and mentor engineers through reviews, pairing, and standards/best practices.
  • Strong experience with UI testing (e.g., Jest/React Testing Library/Cypress/Playwright) and systematic debugging of complex issues.
  • Proven experience implementing and improving CI/CD for front-end applications with automated quality gates.
  • Disciplined experience using AI coding assistants (Claude AI or equivalent where approved) with verification, secure usage practices, and maintainable output.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • In-depth knowledge of the financial services industry and their IT systems, Practical cloud native experience

Preferred qualifications, capabilities, and skills

  • Experience with design systems at scale (component libraries, theming/tokens, governance) and cross-team adoption.
  • Experience with performance engineering (profiling, bundle analysis, code splitting, caching) and accessibility auditing (WCAG).
  • Experience with modern UI architecture patterns (micro-frontends/module federation, BFF patterns, SSR frameworks such as Next.js).
  • Experience with observability for web apps (RUM, client logging, tracing/correlation with backend signals).
  • Track record of improving delivery metrics (release frequency, defect escape, flaky test reduction) and establishing reusable “golden path” tooling/templates.
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