Lead Software Engineer - React Front End And Java

JPMorgan Chase & Co.; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru seeks a Lead Software Engineer to drive development of secure, scalable, cloud-native microservices and AI-assisted engineering practices. You will lead technical design, code reviews, and end-to-end delivery across multiple business functions.

The role emphasizes innovative problem solving, adherence to secure coding standards, and collaboration with vendors and internal teams to enhance architectural outcomes.

Qualifications

• Proficiency with modern front-end stacks: JavaScript or TypeScript, using React or frameworks and some experience in backend using Java & related technologies.
• Experience with agile development methodologies and understanding of the software development life cycle.
• Strong understanding of UI/UX principles, accessibility, and responsive design.
• Demonstrated experience leading effective use of AI-assisted software development tools with the ability to set team expectations for validating AI outputs.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code and reviews and debugs code written by others
• Deliver end-to-end solutions using cloud-native, microservices-based application
• Identify opportunities to eliminate or automate remediation of recurring issues
• Drives team adoption of enterprise-authored AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, with validated standards and reusable patterns
• Applies knowledge of SDLC tools, including AI-assisted development and automation capabilities, to improve automation value
• Identifies opportunities to improve operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to probe architectural designs and applicability within existing systems
• Continuously update technologies and patterns and design solutions that avoid single points of failure
• Design and build scalable, secure, and reliable solutions using modern architectural patterns

Skills

JavaScript

TypeScript

React

Java

AI-assisted development

Security best practices

Agile

CI/CD

Tools

Docker

Kubernetes

AWS

Job description

Job Description:

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

As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank, 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

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems


• Develops secure and high-quality production code, and reviews and debugs code written by others


• Deliver end-to-end solutions using cloud-native, microservices-based application


• Identify opportunities to eliminate or automate remediation of recurring issues


• 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


• Continuously update technologies and patterns. Design and build solutions that avoid single points of failure


• Design and build scalable, secure, and reliable solutions using modern architectural patterns

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience


• Proficiency with modern front-end stacks: JavaScript or Typescript, using React or frameworks and some experience in backend using Java & related technologies.


• Ability to independently solve design and functionality challenges with minimal supervision


• Understanding of modern design patterns used in JavaScript


• Knowledge and experience working with HTML5, CSS, and pre-compilers like Sass and LESS


• Experience with agile development methodologies and understanding of the software development life cycle


• Solid understanding of UI/UX principles, accessibility, and responsive design.


• 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

Preferred qualifications, capabilities, and skills

• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS).


• Familiarity with RESTful APIs and microservices architecture.


• Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management


• Strong problem-solving, analytical, and communication skills


• Ability to drive broader impact by sharing and contributing best practices