Lead Software Engineer - Java, AWS & Agentic AI

JPMorganChase; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

JPMorganChase in Bengaluru invites an experienced Lead Software Engineer to join the Consumer & Community Banking Technology Team. You will guide agile squads, develop secure production code, and drive AI-assisted engineering practices across the software lifecycle.

The role emphasizes leadership, collaboration with fintech domains, and applying cloud and database technologies to deliver trusted, scalable financial solutions with resilience and security at the core.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.

Responsibilities

• Provide technical guidance to the team, contractors, and vendors.
• Develop secure, high-quality production code and review code written by others.
• Influence product design, functionality, and operations; drive enterprise AI tooling adoption.

Skills

Java 17+

Spring Framework

Spring Boot

AI-assisted development

CI/CD

Cloud AWS

Relational/NoSQL DB

Security & resiliency

Agile methodologies

Technical leadership

Tools

JMS

Hibernate

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 & Community Banking Technology Team, 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

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• 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.
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Advanced coding knowledge in Java programming language i.e. Java 17+
• Strong technical skills Java development including areas such as Spring, Hibernate, JMS, Spring Boot, Spring MVC
• Proficiency in automation and continuous delivery methods
• 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
• Strong Experience with Cloud based Technologies (AWS) and Relational Databases (Oracle) or No-SQL Databases
• Experience in Agentic AI solutions - Should have implemented atleast 1 use case using Claude/Co-pilot or any LLM
• 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
• Solid Hands On experience

Preferred Qualifications, Capabilities, And Skills

• Familiarity with modern front-end technologies - React, Micro Frontend Architecture.
• Good analytical thinking and problem solving abilities

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