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

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 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 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
• Exposure to cloud technologies
  
  

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