Lead Software Engineer - Java

JPMorganChase; Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Lead Software Engineer to join the Consumer and Community Banking team, contributing as a core technical contributor to secure, scalable technology products. You will guide design, development, and delivery within an agile team, applying AI-assisted engineering practices to improve code quality and velocity.

The role requires 5+ years in software engineering, distributed systems with Java, and experience building RESTful services using Spring Boot/Cloud, plus

Qualifications

• 5+ years of applied software engineering experience.
• Experience building distributed Java systems.
• Proficient in RESTful/microservices architecture.
• Experience with AI-assisted engineering practices.
• Strong knowledge of security and resiliency.

Responsibilities

• Designs and develops secure, high-quality production code and troubleshoots complex problems.
• Leads adoption of AI-assisted engineering practices to improve code quality and delivery speed.
• Guides SDLC toolchain usage to enhance automation and efficiency.
• Drives architectural evaluation sessions with vendors and internal teams.
• Improves operational stability by identifying recurring issues and automating remediation.

Skills

Java

Distributed systems

AI-assisted development tools

RESTful microservices

Spring Boot / Cloud

CI/CD

Security

Tools

Kafka

RabbitMQ

Cloud platforms

CI/CD tooling

Job description

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
• Experience in building RESTful and event-driven microservices using Spring Boot / Cloud and knowledge on asynchronous communication using messaging/streaming systems (Kafka, RabbitMQ, or equivalents)
• 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

Preferred Qualifications, Capabilities, And Skills

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

ABOUT US