Lead Software Engineer Java AWS Kafka

JPMorgan Chase & Co.; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

JPMorganChase in Bengaluru, India, is seeking a Lead Software Engineer to drive design, development, and delivery of trusted technology products within Consumer & Community Banking. You will be a core technical contributor, shaping architecture and ensuring reliable, scalable solutions across multiple business areas.

The role emphasizes AI-assisted engineering practices, secure coding, and collaboration with agile teams to accelerate delivery while maintaining high standards of security and

Qualifications

• 5+ years of hands-on software engineering experience.
• Proven track record delivering secure, scalable applications.
• Experience with Java/J2EE, Spring Boot, and cloud services.
• Familiarity with AI-assisted development practices is a plus.

Responsibilities

• Executes creative software solutions, and designs, develops, and troubleshoots complex problems.
• Develops secure, high-quality production code and reviews peers' work.
• Drives adoption of enterprise AI-assisted engineering practices to improve quality and delivery.
• Applies SDLC toolchain knowledge to improve automation and value.
• Identifies opportunities to automate recurring issues to improve stability.
• Leads evaluation sessions with external vendors and internal teams on architecture.

Skills

Java/J2EE

Spring Boot

AWS

Kafka

NoSQL

Caching

AI-assisted development tools

CI/CD

Cloud native

Security

Agile

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 & 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
• Advanced in Java/J2ee, Spring boot, AWS , no sql, Kafka,caching,AWS
• 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

Preferred qualifications, capabilities, and skills

• Knowledge in Spark