Lead Software Engineer - Python and Artificial Intelligence

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

JPMorgan Chase in Bengaluru is seeking a Lead Software Engineer focused on Python and AI to join an agile team delivering trusted market-leading technology products in a secure, scalable way. You will be a core technical contributor across multiple areas within the SDLC.

The role requires 5+ years in software engineering with strong Python skills, hands-on experience in AI-assisted development, and leadership to drive best practices and secure coding.

Qualifications

• 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.
• Advanced in one or more programming language(s) (Python as a must).
• Demonstrated experience leading effective use of AI-assisted software development tools with validation of outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows and secure data handling.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine.
• 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 to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of SDLC tools and AI-assisted development to improve automation.
• Identifies opportunities to automate remediation of recurring issues to improve stability of software applications.
• Leads evaluation sessions with external vendors and internal teams to drive design decisions and technology fit.
• Leads communities of practice across Software Engineering to promote new technologies.

Skills

Python

AI/ML concepts

Software design

Agile methodologies

Team leadership

Tools

CI/CD tools

Automation tooling

Job description

Lead Software Engineer - Python and AI

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 JPMorgan Chase within the Commercial and Investment Banking, 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

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
• Advanced in one or more programming language(s) (Python as a must)
• 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 Analytical and problem-solving skills.
• Solid technology background with experience in object-oriented programming.
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of 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.
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Preferred UI Skills - Reactjs, Nodejs, Microservices Macro Trading Business knowledge.
• In-depth knowledge of the financial services industry and their IT systems
• Knowledge of AWS Data Source Distributed computing, Data modeling, Performance engineering, regression testing
• Experience Level Senior Level