Lead Software Engineer - Java, AWS, Kafka

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Lead Software Engineer to drive Java AWS Kafka development in a secure, scalable, and AI-enhanced environment. You will contribute as a core technical member within an agile team, delivering trusted financial technology products with robust operations.

The role emphasizes building secure production code, leading AI-assisted coding practices, and collaborating across business functions to align with strategic objectives.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in Java/J2EE, Spring Boot, AWS, NoSQL, Kafka, caching.
• Proven ability to coach engineers on safe, compliant AI-assisted development.
• Strong understanding of responsible AI use with security considerations.
• Proficient in SDLC and testing practices.
• Advanced understanding of CI/CD, resiliency, and security.
• Deep knowledge of financial services IT environments.
• Practical cloud-native experience.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with non-routine approaches to problems.
• Develops secure, high-quality production code and reviews peers' work.
• Drives adoption of AI-assisted engineering practices to improve quality, speed, and operations.
• Applies SDLC toolchain knowledge to enhance automation value.
• Identifies opportunities to automate remediation for stability and reliability.
• Leads evaluation sessions with vendors and teams to probe architecture and applicability.

Skills

Java/J2EE

Spring Boot

AWS

Kafka

NoSQL

Caching

CI/CD

Security & Resiliency

AI-assisted dev tools

Agile methodologies

Cloud native

Tools

Spark

Job description

Lead Software Engineer - Java AWS Kafka 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 oi Spark
• Experience Level Senior Level