Description As a Java Software Engineer III at JPMorgan Chase within our Test Engineering Services team, you’ll bring techno-functional expertise to deliver data-led, end-to-end automated testing for our Custody business You’ll work on high-impact platforms, ensuring data integrity, performance, and presentation quality across continuous delivery and quarterly release cycles. This is an exciting and rewarding opportunity to elevate your engineering career while building solutions that power global markets. Job Responsibilities: Execute software solutions across design, development, automated testing, and technical troubleshooting—bringing creative thinking to build solutions and break down complex problems. Lead data-led testing initiatives for Custody, performing end-to-end Functional, Regression, and Data testing. Gather, analyze, synthesize, and visualize large, diverse datasets to drive continuous improvement of applications and systems. Design, build, and maintain in-house testing products and automation frameworks in Java and related technologies. Schedule and execute daily regression cycles, including non-functional regression for resiliency and performance. Partner closely with product, operations, and engineering to validate business functionality across trade processing and corporate actions. Required qualifications, capabilities, and skills Strong domain knowledge in Securities Processing for Trade Processing or Corporate Actions. Experience with SWIFT and XML message formats used in securities operations. Proven ability to automate end-to-end test requirements using Java and related technologies. Hands-on experience in system design, application development, automated testing, and operational stability in a large-scale environment. Proficiency developing, debugging, and maintaining code using modern programming languages and database querying languages. Server-side expertise in Core Java; familiarity with XML, JSON, Spring Framework; exposure to Python frameworks such as Flask and Django. Experience building web applications and REST APIs. Database experience with relational systems (Oracle, PostgreSQL) Working knowledge of version control (Git), CI/CD tools (e.g., Jenkins), and test automation tools (Selenium, Cucumber). Working experience with cloud-native platforms such as AWS, Kubernetes, or private cloud environments (e.g., Pivotal). Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies (e.g., ReactJS). Preferably experience with non-relational stores (MongoDB, Cassandra). Exposure to cloud technologies; AWS preferred—including services such as SageMaker and Glue. Strong understanding of data analytics and deep learning concepts. Awareness of industry-wide technology trends and best practices; ability to collaborate in large, cross-functional teams. Passion for building an innovative culture and developing emerging skills in areas such as cloud, artificial intelligence, machine learning, and mobile.