Join one of the world’s leading financial institutions and help shape the future of Securities Services technology. As a 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.

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:

• Exposure to cloud technologies; AWS preferred—including services such as Sage Maker and Glue.
• Strong understanding of data analytics and deep learning concepts.
• Database experience with non-relational stores (MongoDB, Cassandra).
• 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.