
at J.P. Morgan
Bulge Bracket Investment BanksPosted a month ago
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**Full Stack Developer Python/React (Software Engineer II)** Assume the role of an emerging Full Stack Developer, focusing on Python and React at JPMorganChase. Collaborate within an agile Software Engineering II position, enhancing, designing, and delivering secure, scalable technology products. Key responsibilities include executing software solutions, writing high-quality code, leveraging AI-assisted tools, and troubleshooting technical issues. Proficient experience in Python frameworks (Django, Flask, FastAPI) and React, along with strong API development knowledge, is required. Familiarity with Kubernetes, Docker, and networking concepts is preferred.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
Location: Hyderabad, Telangana, India
As a Software Engineer II at JPMorganChase within the Infrastructure Platforms - Networks, you are part of an agile team that works to enhance, design, and deliver the software components of the firms state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- 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
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- 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
- 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
- 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.
Preferred qualifications, capabilities, and skills
- Good knowledge of networking concepts, a basic CCNA certification
- Experience with cloud-based technologies, knowledge of Kubernetes , Dockers




