Software Engineer II - Java Full Stack Developer

Role Overview

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. You will execute software solutions through the design, development, and technical troubleshooting of multiple components while gaining the skills and experience needed to grow within your role.

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 (e.g., Copilot, LLM, Claude Code) to improve code quality, delivery speed, and productivity
• Applies knowledge of tools within the SDLC toolchain, including AI-assisted development and automation
• Experience in frontend technologies like HTML, CSS, JavaScript, and frameworks like React.js or 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
• Applies technical skills to break down solutions and solve technical problems

Requirements

• 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 with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling
• Exposure to microservice architecture
• Experience in using AI productivity tools like Copilot, LLM, Claude Code
• Experience in prompt engineering and proficiency in developmental toolsets
• Emerging knowledge of building out cloud native solutions (AWS)
• Hands-on experience in system design, application development, and testing
• Ability to work in large, collaborative teams

Skills

• Java
• AWS
• React.js
• AI Tools
• Kubernetes

Preferred Qualifications

• Bachelor's Degree in computer science engineering or equivalent
• Familiarity with modern front-end technologies
• Exposure to cloud technologies