Java Full Stack Software Engineer

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Java Full Stack Software Engineer II to join their Corporate Technology Employee Platforms. You will develop, test, and troubleshoot software components, delivering secure, scalable solutions using Java, ReactJS, and AWS in an agile environment.

You will work with enterprise AI coding assist tools to improve development speed and quality, while adhering to security and resiliency standards across the SDLC.

Qualifications

• Hands‑on practical experience with Java and ReactJS in enterprise environments.
• Experience with AWS and cloud-based services.
• Exposure to enterprise AI coding assist tools and secure coding practices.
• Understanding of SDLC and agile methodologies.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high‑quality code using Java and ReactJS.
• Leverages AI coding assist tools to improve code quality and delivery speed.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems.
• Applies SDLC tools and automation capabilities to improve value of automation.
• Gathers and analyzes data to identify problems and support secure, stable application development.
• Learns and applies system processes and skills for secure coding.

Skills

Java

ReactJS

AWS

AI tools exposure

Tools

AI-assisted development tools

Job description

Java Full Stack (Java, ReactJS, AWS, and exposure to AI tools) Software Engineer II

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the Corporate Technology Employee Platforms, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s 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 Java and ReactJS.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands‑on practical experience with Java, ReactJS and AWS. Exposure to AI tools
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• 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.
• 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 across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Exposure to AI Tools and Cloud technologies

Experience Level Mid Level