Lead Software Engineer - Java/Python Backend

JPMorganChase; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer in Bengaluru to join the CTO LOB. You will drive secure, scalable technology delivery as a core technical contributor in an agile team, building trusted market-leading products and enabling AI-assisted development across multiple business functions.

The role emphasizes responsible AI usage, SDLC mastery, and cloud-native practices in a financial services context, with collaboration across vendors and internal groups.

Qualifications

• Formal training in software engineering concepts.
• 10+ years of applied experience in software development or related fields.
• Experience delivering system design, application development, testing, and operational stability.
• Advanced Java and Python programming skills.
• Experience with AI-assisted software development tools and governance.

Responsibilities

• Design, develop, and troubleshoot software with ability to innovate beyond standard approaches.
• Write secure, high-quality production code and review others' code.
• Lead adoption of enterprise AI-assisted engineering practices for code quality and delivery speed.
• Leverage SDLC tools and automation to improve value and efficiency.
• Identify and automate remediation of recurring issues to improve stability.
• Lead architectural design evaluations with internal teams and external partners.

Skills

Java

Python

AI-assisted tools

Architectural design

Education

Formal software engineering training

Tools

CI/CD

SDLC 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.

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 CTO LOB, 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

• A. Formal training or certification on software engineering concepts and 10+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java/Python programming language(s)
• 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

• Platform engineering experience
  

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