Software Engineer II - Java Full Stack Developer + AWS + AI

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,900,000 - 2,700,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru seeks a Software Engineer II - Java Full Stack Developer + AWS + AI to join an agile team delivering scalable software components for the Commercial & Investment Bank.

You will design, develop, test, and deploy solutions using Java, front-end tech, AWS cloud, and AI-assisted tools, while contributing to secure, reliable product delivery in a collaborative environment.

Qualifications

• 2+ years of software engineering experience.
• Experience with Java and AWS.
• Experience with AI tools and enterprise SDLC practices.

Responsibilities

• Applies practical experience of Agile software methodologies.
• Proficiency in Java or Python.
• Uses AI coding assist tools to improve code quality, delivery speed, and productivity.
• Experience building cloud native or cloud ready applications using AWS.
• Exposure to Kubernetes.
• Designs, develops, tests and deploys software components.

Skills

Java

Front End

AWS

AI tools

CI/CD

Education

Bachelor’s Degree in Computer Science or equivalent

Tools

Kubernetes

CI/CD tools

AI-assisted development tools

Job description

Software Engineer II - Java Full Stack Developer + AWS + AI

Job Information

• Job Identification 210788786
• Job Category Software Engineering
• Business Unit Commercial & Investment Bank
• Posting Date 09/25/2026, 01:13 PM
• Apply Before 09/26/2026, 04:00 AM
• Job Schedule Full time
• Job Shift Day

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 - Java Full Stack Developer + AWS + AI at JPMorgan Chase within the Commercial & Investment Bank, you'll be a 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

Applies practical experience of Agile software methodologies

Proficiency in one or more programming languages like java or python

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

Proficiency in using AI for tech tools(copilot, LLM, calude code etc) for SDLC

Experience building cloud native or cloud ready applications using AWS

Exposure to Container technologies like Kubernetes

Executes standard software solutions, design, development, testing, and deployment

Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications

Applies technical skills to break down solutions and solve technical problems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience

Hands on Experience in Java, Front End, AWS, AI tools and Platform or Product Development

Exposure to tools related to 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 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.

Exposure to microservice architecture

Experience in using AI productivity tools like co-pilot, LLM ,Claude code

Experience in prompt engineering, proficiency in developmental toolsets and Knowledge of industry-wide technology trends and best practices

Emerging knowledge of software applications and technical processes within a technical discipline, specifically building out cloud native solutions (AWS).

Hands‑on experience in system design, application development, and testing

Ability to work in large, collaborative teams to achieve organizational goals and Passionate about building an innovative culture

Preferred qualifications, capabilities, and skills

Bachelor’s Degree in computer science engineering or equivalent

• Familiarity with modern front-end technologies