Software Engineer III Java Full Stack Developer + AWS + AI

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 youll 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 firms 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 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

• Bachelors Degree in computer science engineering or equivalent

• Familiarity with modern front-end technologies
• Exposure to cloud technologies