Lead Software Engineer - Python Full Stack Developer

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

JP Morgan Services India Pvt Ltd is seeking a Lead Software Engineer- Python Full Stack Development (Python, Django & React) to contribute as a core technical member of an agile team. You will build trusted, scalable software solutions and oversee AI-assisted engineering practices to improve code quality and delivery speed.

The role requires extensive experience in Python, Django/Flask, and React, with a focus on secure coding, SDLC excellence, and cloud-native design.

Qualifications

• 5+ years in software engineering with web development
• Strong Python Django/Flask and React experience
• Experience with AI-assisted development tools and secure coding practices

Responsibilities

• Develop secure, high-quality production code and review peers' work
• Lead enterprise AI-assisted engineering practices to improve quality, delivery speed and security
• Drive automation, testing strategies, and incident/root-cause analysis within the SDLC
• Lead design reviews and evaluate architectures with internal teams and external vendors

Skills

Python

Django/Flask

React

AI-assisted tools

Security

CI/CD

Agile methods

Cloud native

Code reviews

Tools

Oracle Database

Job description

Lead Software Engineer- Python Full Stack Development (Python, Django & React)

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 IP, 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
• Advanced in one or more programming language(s)
• Advanced in Python Django/Flask web frameworks and React
• 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

• Ability to initiate and implement ideas to solve business problems
• Passion for learning new technologies and driving innovative solutions.
• Basic/Intermediate knowledge in Oracle Database is preferred