Lead Software Engineer – Java

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru is seeking a Lead Software Engineer to join the Wealth Management - Online Investing team. The role focuses on enhancing technology products, requiring extensive experience in software development and AI tools.

Ideal candidates will have 5+ years of experience, strong knowledge in Java, Spring Boot, and Microservices. Responsibilities include development of secure code, evaluating architectural designs, and promoting effective team culture enhancing diversity and inclusion.

Qualifications

• 5+ years applied software engineering experience.
• Hands-on experience in Java, Spring Boot, and Microservices.
• Strong understanding of responsible AI use within engineering workflows.

Responsibilities

• Develops secure high-quality production code.
• Leads evaluation sessions with vendors and internal teams.
• Identifies opportunities for automating remediation of recurring issues.

Skills

Software engineering concepts

AI tools (Claud Code, GitHub Co-pilot)

Java

Spring Boot

Microservices

AWS

Agile methodologies (CI/CD)

Education

Formal training or certification in software engineering

Tools

AI-assisted development tools

AWS

Terraform

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 JPMorgan Wealth Management - Online Investing, 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 break down technical problems
• Develops secure 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies
• Adds to 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
• Experience building software using AI tools like Claud Code, Github Co‑pilot, etc.
• Hands‑on practical experience in system design, application development, testing, and operational stability
• Hands on experience in Java, Spring Boot, Microservices, AWS
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• 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
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front‑end technologies – Spring Boot, Java, React.js, JS, HTML, CSS, Git, Rest
• Exposure to cloud technologies – AWS, Terraform