Lead Software Engineer - Python Full stack developer

JPMorgan Chase & Co.; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer within Infrastructure Platforms - Networks to drive development of trusted, scalable technology products. You will guide architectural decisions, mentor engineers, and lead complex projects with a focus on secure and resilient software delivery.

The role emphasizes AI-assisted development practices, API design, cloud deployment, and Agile methodologies, contributing to secure, high-performance systems in a global financial environment.

Qualifications

• 5+ years of software engineering experience.
• Proficiency in Python with Django/Flask/FastAPI.
• Experience with React and AngularJS.
• API development with scalable design.
• Hands-on AI-assisted development tools experience.
• Strong knowledge of Agile, CI/CD, and security.

Responsibilities

• Executes creative software solutions, design, development and troubleshooting with ability to think beyond routine approaches.
• Leads the technical design of features translating requirements into scalable, secure, and maintainable solutions.
• Provides technical leadership by guiding implementation, reviewing designs and code, resolving blockers, and ensuring high-quality delivery.
• Writes secure and high-quality code with limited guidance.
• Drives adoption of enterprise AI-assisted engineering practices to improve code quality, speed, and outcomes; promotes secure validation standards.
• Applies SDLC tools to improve automation and value realization.
• Designs and develops with consideration of upstream/downstream systems and implications.
• Applies debugging to break down complex solutions and solve problems of basic complexity.
• Gathers and analyzes data to inform decision-making for secure, stable applications.

Skills

Python

Django/Flask/FastAPI

React

AngularJS

API development

AI-assisted tools

Agile methodologies

CI/CD

Cloud deployment

Security best practices

Tools

Kubernetes

Docker

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 JPMorgan Chase within the Infrastructure Platforms - Networks, 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
• Leads the technical design of features, translating business requirements into scalable, secure, and maintainable solutions while defining architecture, interfaces, and implementation approaches.
• Provides technical leadership to the engineering team by guiding implementation, reviewing designs and code, resolving technical blockers, and ensuring high-quality delivery aligned with engineering standards.
• Executes standard software solution, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• 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.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficient experience in Python, with hands‑on expertise in Django or Flask or FastAPI.
• Experience with React and AngularJS
• Knowledge on Astronomer/Airflow. Strong knowledge of API development.
• Hands‑on experience using enterprise-authorized AI‑assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
• Solid understanding of agile methodologies, application resiliency, and system integration.
• Knowledge of code maintainability, including source control (Bitbucket or similar), code branching strategies, and deployment in cloud environments.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• 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
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Good knowledge of networking concepts, a basic CCNA certification
• Experience with cloud-based technologies, knowledge of Kubernetes , Dockers