Lead Software Engineer - ReactJS, UX

JPMorgan Chase & Co.; Mumbai; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai, within Sales & Research Technology, seeks a Lead Software Engineer to design and deliver secure, scalable, user-focused front-end solutions.

You will translate UX designs into production-ready interfaces, integrate with Java/Python backends and AWS, and drive AI-assisted engineering practices to improve quality and speed across complex projects. As a seasoned engineer, you will own architecture artifacts, develop visualizations from diverse data, and mentor teams

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years of applied software engineering experience.
• Experience with at least one backend language (Java or Python) and AWS.
• Ability to translate UX/UI designs into production-ready code with accessibility.
• Experience using AI-assisted development tools and evaluating outputs.

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
• 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

Skills

UI development

Backend integration

AWS

AI-assisted development tools

CI/CD

Design systems

UI component libraries

Front-end testing frameworks

Usability & accessibility

Data visualization

Education

Formal training or certification in software engineering

5+ years experience in software engineering

Tools

Java

Python

Job description

• Business Unit Commercial & Investment Bank
• Posting Date 08/17/2026, 08:36 AM
• Locations VENTURA TOWERS,2ND3RD,4TH,5TH & 8TH, (PART)FLRS,HIRANANDANI BUSINESS , PARK,C.A.RD,POWAI, Mumbai, IN-MH, 400076, IN Ground to Fifth Floor G,H Block, EMBASSYTECH VILLAGE-PARCEL 5 OUTER RING RD DEVERABEESANAHALLI VILLA, Bengaluru, IN-KA, 560103, IN
• Job Schedule Full time
• Job Shift Day

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
• 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
• 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

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