Software Engineer II - Fullstack (Java, React, AWS)

JPMorgan Chase & Co.; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai seeks a Software Engineer II to enhance, design, and deliver secure, scalable software components. You will work in an agile team on modern technology stacks, applying AI-assisted coding tools while ensuring robust testing and peer reviews.

Key qualifications include Java, SQL/Oracle, and AWS experience, with full SDLC exposure and secure coding practices. The role supports career growth in a global financial technology environment.

Qualifications

• Proficiency in Java, Oracle or PostgreSQL, and AWS.
• Experience across the full Software Development Life Cycle.
• Hands-on coding with enterprise AI-assisted development tools.
• Understanding of secure coding and data handling.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code using the syntax of at least one programming language with limited guidance.
• Leverages AI coding assist tools to improve code quality, delivery speed, and productivity, with peer review.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems.
• Applies SDLC tools and automation to improve development value.
• Gathers, analyzes, and draws conclusions from large data sets to aid decisions.
• Learns system processes and skills for secure, stable code and systems.
• Exposure to agile methodologies such as CI/CD, Resiliency, and Security.

Skills

Java

System design

AWS

SQL/Oracle

AI-assisted tooling

Agile

Tools

React

Kafka

ElasticSearch

Job description

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 Asset & Wealth Management, 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 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

Required qualifications, capabilities, and skills

• Proficiency in Java, Oracle/PostgresSQL & AWS
• 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
• 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

• Experience building cloud-native applications; working knowledge of AWS (or comparable cloud platform)
• Hands-on experience on React
• Good knowledge of Kafka & ElasticSearch