Lead Software Engineer - Java, Python and AIML

JPMorgan Chase & Co.; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru seeks a Lead Software Engineer within Asset and Wealth Management to contribute to agile teams delivering trusted market-leading technology.

You will drive AI-assisted coding practices, ensure secure production code, and scale solutions across cloud environments with emphasis on design, testing, and operational stability.

Qualifications

• Formal training or certification in software engineering concepts
• Hands-on experience in system design, application development, testing, and operational stability
• Experience building applications using LLM driven code generation and AI-assisted development tools
• Understanding of responsible AI use in engineering workflows, data sensitivity, and secure handling of inputs/outputs
• Experience in cloud deployments and DevOps tooling
• Proficiency in Java development and web applications on AWS

Responsibilities

• Executes creative software solutions with ability to think beyond routine approaches
• Develops secure, high-quality production code and reviews code
• Drives AI-assisted engineering practices to improve quality, speed, and operations
• Applies SDLC tools and AI-assisted capabilities to improve automation
• Identifies opportunities to automate remediation and improve stability
• Leads evaluation sessions for architectural designs and technology applicability

Skills

Java development

Cloud deployments

DevOps tooling

AI-assisted development

ML/AI concepts

Security and reliability

Education

Formal training or certification in software engineering

Tools

AWS

OpenAI API

Copilot

LLM tooling

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 Asset and Wealth Management, 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 building applications using LLM driven code generation such as Claude Code or Microsoft copilot
• 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
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Practical knowledge of web application development on AWS
• Good Experience in Java development, cloud deployments and in continuous delivery and DevOps tooling

Preferred qualifications, capabilities, and skills

• Experience in building, evaluating and deploying Machine learning Models into Production
• Experience in integration of standard AI/ML/LLM software solutions, design, development, and technical troubleshooting.
• Experience working with Large Language Models (LLM)/GenAI technology like OpenAI API, (GPT models), HuggingFace models etc. having solid understanding of Transformers architecture.
• Experience in Natural Language Processing and NLP tools and libraries like Spacy.