We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank, you 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 • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems • 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. • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture • Contributes to software engineering communities of practice and events that explore new and emerging technologies • Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills • Formal training or certification on software engineering concepts and 2+ years applied experience • Must be a US Citizen • Hands-on experience in QA automation / SDET / test engineering. • Fluent programming skills in at least one of: Python, TypeScript/JavaScript, or Java (able to design/maintain frameworks and debug effectively). • Hands-on experience with UI automation and backend/API automation (tooling is flexible; engineering quality and maintainability are essential). • Knowledge of testing practices (functional, regression, negative testing, test design) and strong QA fundamentals. • Working knowledge of databases and SQL for test data validation and verification. • 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 agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills • Strong experience with Playwright (preferred) and/or Selenium. • Performance testing exposure (e.g., JMeter or similar). • Cloud experience (e.g., AWS) and scaling test execution (parallelization, containers). • Track record of improving pipeline reliability (flake reduction, better test data strategy, observability/metrics).