Lead Software Engineer - ReactJS, UX

United States Digital Space LLC; Maharashtra; On-site; INR 14,354,000 - 20,096,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to design and deliver market-leading front-end experiences in a secure, scalable manner. You will drive UI/UX excellence and align with backend services (Java/Python) and AWS cloud platforms.

You will champion accessible, high-performance interfaces, contribute to design systems, and help advance enterprise AI-assisted development practices across teams.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience building responsive, accessible UIs with modern frontend frameworks and core web tech.
• Experience translating UX/UI designs into production-ready code with strong attention to usability.
• Experience with enterprise AI-assisted development tools and evaluating AI outputs for correctness, performance and security.
• Experience leading use of AI-assisted development tools and setting team expectations for validation.
• Understanding of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

• Designs and delivers user-facing front-end features with strong UI/UX focus.
• Builds secure, high-quality production code and reusable components.
• Translates designs into pixel-perfect interfaces with collaboration with designers.
• Ensures responsive, accessible, and performant front-end solutions.
• Integrates front-end with backend services and AWS cloud platforms.
• Leads adoption of AI-assisted engineering practices with proper validation standards.
• Applies SDLC tooling to improve automation and delivery value.
• Produces architecture and design artifacts for complex front-end apps.
• Gathers data visualizations from large datasets to improve UX and system performance.
• Identifies usability issues from telemetry and drives UX improvements.

Skills

Frontend frameworks

UI/UX development

Java or Python backend

AWS cloud services

AI-assisted development tools

Accessibility (WCAG)

REST/GraphQL APIs

Agile CI/CD

Design systems & components

Performance optimization

Tools

Jest

Playwright

Cypress

Git & DevOps tooling

Job description

JOB DESCRIPTION

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 JPMorgan Chase within the Commercial & Investment Bank's Sales & Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted, market-leading, user-facing technology products in a secure, stable, and scalable way. You are responsible for crafting intuitive, accessible, and high-performing user experiences while driving critical front-end technology solutions across various business functions in support of the firm's business objectives.

Job responsibilities

• Executes software solutions with a strong emphasis on user interface design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build engaging, responsive, and accessible experiences
• Creates secure and high-quality production code across the front-end stack and maintains reusable component libraries and design systems that scale across products
• Translates UX designs, wireframes, and prototypes into pixel-perfect, performant interfaces, partnering closely with product designers and UX researchers to deliver seamless user journeys
• Champions front-end best practices including responsive design, cross-browser compatibility, accessibility (WCAG), performance optimization, and modern state management patterns
• Integrates front-end applications with backend services and APIs (Java/Python) and cloud-hosted (AWS) platforms to deliver end-to-end functionality
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., component generation/refactoring, unit and UI 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
• 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.
• Produces architecture and design artifacts for complex front-end applications while being accountable for ensuring design constraints, usability standards, and performance budgets are met
• Gathers, analyzes, and develops visualizations and dashboards from large, diverse data sets in service of continuous improvement of user-facing applications and systems
• Proactively identifies hidden usability issues and patterns in user behavior and telemetry data and uses these insights to drive improvements to UX quality and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience building responsive, accessible user interfaces with modern front-end frameworks (e.g., React, Angular, or Vue) and core web technologies (HTML5, CSS3/Sass, TypeScript, JavaScript). Proficient in front-end development, including component-based architecture, state management, and consuming RESTful and/or GraphQL APIs
• Working knowledge of at least one backend language (Java or Python) and cloud services (AWS) sufficient to integrate, debug, and support end-to-end delivery
• Experience translating UX/UI designs and design systems (e.g., Figma) into production-ready code, with a strong eye for detail, usability, and accessibility
• 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
• 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
• 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
• Experience developing, debugging, and maintaining code in a large corporate environment
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of front-end performance, accessibility standards, and cross-browser/cross-device compatibility

Preferred qualifications, capabilities, and skills

• Experience with design systems, UI component libraries, and front-end testing frameworks (e.g., Jest, Cypress, Playwright, Testing Library)
• Familiarity with UX principles, usability testing, and web analytics/telemetry tools
• Exposure to backend development in Java or Python and cloud technologies (AWS)
• Knowledge of build tooling, module bundlers, and micro-front-end architectures

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