QA Analyst Automation and Manual - Software Engineer III

We have an exciting and rewarding opportunity to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Payments Investigations Technology group, you will 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.

You will also leverage AI‑enabled tools and AI Agents to enhance quality engineering practices, including test requirements analysis, test case generation, automation code development and review, and analysis of test automation framework vulnerabilities with recommendations for remediation.

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Create secure and high‑quality production code and maintain algorithms that run synchronously with appropriate systems.
• Leverage enterprise‑authorized AI coding assist tools to improve code quality, delivery speed, and productivity across complex deliverables, while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness.
• Apply 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.
• Produce architecture and design artifacts for complex applications while ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems.
• Proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture.
• Partner closely with Operations, Product, and Technology groups.
• Utilize test automation tools such as Selenium and Cucumber for efficient and timely end‑to‑end test execution, having previous experience in automated testing.
• Develop, maintain, and review automation code using modern development environments, including IntelliJ and VS Code.
• Monitor and report testing defects and manage the re‑testing process.

• Formal training or certification in software engineering concepts and at least 3+ years of applied experience.
• Hands‑on practical experience in system design, application development, testing, and operational stability.
• Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages.
• Hands‑on experience using enterprise‑authorized AI‑assisted software development tools, with demonstrated ability to 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.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security.
• Experience in Agile project delivery.
• Experience with test case design, test execution, defect management, and re‑testing processes.
• Experience using automation tools and frameworks such as Selenium, Cucumber, or similar technologies.
• Experience using IDEs and development tools such as IntelliJ and VS Code.

• Experience supporting Pega Infinity applications for banking, payments, and/or payment investigations workflows.
• Experience assessing automation frameworks for security, reliability, scalability, and maintainability risks.
• Experience applying AI or AI Agents in the software testing lifecycle, including test requirements analysis, test case…