JPMorgan Chase—Software Engineer II - Java Full Stack Developer + AWS + AI

Job description

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