Software Engineer II - Java FullStack, React and AWS

Fairygodboss; Mumbai; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

JPMorgan Chase's Asset and Wealth Management Data and Analytics team is seeking a Software Engineer II in Mumbai. You will contribute to design, development, and troubleshooting of secure, scalable software across applications and systems, within an agile environment.

You will write secure code using React, TypeScript, Java or Python backend, and leverage AI-assisted development tools, CI/CD, and AWS infrastructure to improve quality, delivery speed, and reliability.

Qualifications

• Formal training or certification in software engineering concepts and 2+ years applied experience.
• Tech Skills ; FullStack - React, TypeScript, Java/Python Backend, AI skills, AWS infrastructure.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security.
• 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 output.

Responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• 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
• 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 break down 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

Skills

FullStack - React

TypeScript

Java

Python

Backend

AI skills

AWS infrastructure

CI/CD

Education

Formal software engineering training

Tools

AI-assisted development tools

Job description

As a Software Engineer II within the Asset and Wealth Management Data and Analytics team at JPMorgan Chase, you are part of an agile group that designs, enhances, and delivers secure, stable, and scalable software components for the firm's state-of-the-art technology products. As an emerging member of this software engineering team, you implement software solutions by contributing to the design, development, and technical troubleshooting of multiple components across applications, systems, and technical products, while building the skills and experience needed to advance in your role

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• 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
• 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 break down 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 2+ years applied experience
• Tech Skills ; FullStack - React, TypeScript, Java/Python Backend, AI skills, AWS infrastructure
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• 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 output

Preferred qualifications, capabilities, and skills

• Experience with Java , Spring Boot, Spring JPA, Database
• Familiarity with modern front-end technologies
• Exposure to cloud technologies AWS