Lead Software Engineer- Java

JPMorgan Chase & Co.; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

JPMorganChase seeks a Lead Software Engineer to contribute to trusted market-leading technology in Consumer and Community Banking. You’ll collaborate in an agile team, delivering secure, scalable software while driving AI-assisted engineering practices and automated testing across the SDLC.

The role emphasizes design, development, and operational stability, with focus on Java-based distributed systems and strong code quality and security standards.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, development, testing, and operational stability.
• Experience designing and developing distributed systems using Java.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure, high-quality production code and reviews code.
• Drives adoption of AI-assisted engineering practices to improve code quality, delivery speed, and reliability.
• Applies knowledge of tools in the SDLC to improve automation value.
• Identifies opportunities to automate remediation and improve stability of applications.
• Leads evaluation sessions with vendors and teams on architectural designs.

Skills

Java

AI-assisted tooling

CI/CD

Agile methodologies

Secure coding

Tools

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 Consumer and 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

• 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
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Experience in designing and developing distributed systems using Java
• 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

• Practical cloud native experience
• Familiarity with modern front-end technologies