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.
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.
* 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).
Qualifications
* 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.
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