Lead Software Engineer

JPMorgan Chase & Co.; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai invites a Lead Software Engineer to join the Payments Technology team. You will contribute as a core technical member, delivering secure, scalable technology products aligned with the firm’s objectives.

The role involves building production-ready code, implementing AI-assisted practices, and guiding teams through SDLC with a focus on security and resiliency in a fast-paced agile environment.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Demonstrable depth in AI/ML systems and strong experience with AWS.
• Advanced proficiency in Java, with strong experience in Python and React.
• Knowledge of LLM orchestration, RAG, tool calling, prompt engineering, and dynamic reasoning.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with ability to think beyond routine approaches.
• Develops secure, high-quality production code and reviews code written by others.
• Drives adoption of AI-assisted engineering practices to improve code quality, delivery and reliability.
• Applies SDLC tools, including AI-assisted development and automation, to improve value of automation.
• Identifies opportunities to eliminate recurring issues to improve stability of software systems.
• Leads evaluation sessions with internal teams and external vendors to assess architectural designs.

Skills

AI/ML systems

AWS

Java

Python

React

LLM orchestration

RAG

prompt engineering

CI/CD

Agile methodologies

Security

Tools

Splunk

DynaTrace

Geneos

Job description

• Business Unit Commercial & Investment Bank
• Locations Nirlon Knowledge Park, Western Express Highway, Goregaon (East), Mumbai, IN-MH, 400063, IN
• Job Schedule Full time

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 Commercial & Investment Bank Payments 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

• 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
• Demonstrable depth in AI/ML systems. Strong experience with AWS
• Advanced proficiency in Java, with strong experience in at least one additional programming language (e.g., Python) and modern front-end technologies (e.g., React)
• Practical understanding of LLM orchestration, RAG, tool calling, prompt engineering, and dynamic reasoning
• Proficiency in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems. Advanced in one or more 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

Preferred qualifications, capabilities, and skills

• Experience with vector databases and search (e.g., FAISS, OpenSearch/Elasticsearch, equivalents)
• Experience with Observability Stack.
• Knowledge of Splunk, DynaTrace, Geneos, etc