Lead Software Engineer - Python Full stack developer

Aumni; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to join the Infrastructure Platforms - Networks team. You will lead design, development, and troubleshooting of complex software solutions, guiding architecture and secure, scalable delivery across functions.

You will mentor engineers and drive adoption of AI-assisted development practices to improve quality and velocity. The role requires strong Python with Django/Flask/FastAPI, React, AngularJS, and API development skills, plus experience with

Qualifications

• 5+ years of software engineering experience with formal training or certification.
• Proficient in Python with Django/Flask/FastAPI.
• Experience with React and AngularJS.
• Strong API development knowledge.
• Hands-on experience with enterprise AI-assisted development tools.
• Solid understanding of Agile methodologies and system integration.
• Knowledge of code maintainability and cloud deployment practices.
• Experience leading AI-assisted tooling adoption and ensuring secure AI outputs.

Responsibilities

• Executes creative software solutions, design, development and debugging.
• Leads technical design of features, including architecture and interfaces.
• Provides technical leadership through code reviews and mentorship.
• Writes secure, high-quality code with limited guidance.
• Drives AI-assisted engineering practices to improve quality and speed.
• Applies SDLC tools and AI-assisted development to improve automation and testing.
• Collaborates across teams to ensure secure, scalable application delivery.

Skills

Python

Django/Flask/FastAPI

React

AngularJS

API development

AI-assisted development tools

CI/CD

Security

Tools

Kubernetes

Docker

Airflow/Astronomer

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

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team