Lead Software Engineer - React UI & Java

Next Frontier Capital; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorganChase in Mumbai seeks a Lead Software Engineer to drive critical technology solutions across multiple domains, aligning with enterprise AI-assisted development and secure coding practices.

You will lead a skilled agile team, advancing production-quality code, and collaborating with vendors to validate architectural designs and scalability across business functions.

Qualifications

• Formal training or certification in software engineering concepts, plus 5+ years of applied experience.
• Hands-on experience delivering design, development, testing, and production support.
• Advanced proficiency in one or more programming languages.
• Experience leading use of approved AI-assisted development tools with emphasis on correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, and secure handling.

Responsibilities

• Executes creative software solutions and debugging with problem-solving beyond routine approaches.
• Develops secure, high-quality production code and performs code reviews.
• Leads adoption of enterprise AI-assisted engineering practices to improve quality and delivery speed.
• Utilizes SDLC tools and CI/CD practices to enhance automation and reliability.
• Identifies opportunities to automate recurring issues to improve stability.
• Leads evaluation sessions with external vendors and internal teams on architectural viability.

Skills

Software engineering

AI-assisted development

CI/CD

Cloud native

Agile methodologies

Security

Tools

AI-assisted tooling

SDLC toolchain

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 JPMorganChase within the Commercial & 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
• 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 ( NAMR/APAC – India/ LATAM/ Hong Kong)
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• 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

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team