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

Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - Java Full Stack Developer + AWS + AI at JPMorgan Chase within the Commercial & Investment Bank, you'll serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.

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 in frontend technologies like HTML, CSS, JavaScript, and frameworks like React.js, Angular

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 3+ 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, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

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 Exposure to cloud technologies