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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III-test Automation at JPMorganChase within the Corporate and Investment Banking for Payments Technology business, 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
Design, develop, and maintain automated test frameworks and test cases for front-end and back-end systems
Create and execute test plans covering functional, regression, integration, and non-functional testing
Build and maintain automated test suites using tools such as Selenium/Cucumber within CI/CD pipelines
Collaborate with developers and stakeholders to define test strategy and acceptance criteria
Participate in Agile ceremonies including sprint planning, refinement, and retrospectives
Identify, log, and support resolution of defects to ensure product quality and stability
Act as a key contact during SIT/UAT phases and support release activities and sign-offs
Perform API testing and validate system integrations
Conduct performance and basic security testing to ensure scalability, reliability, and compliance with standards
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.
Required qualifications, capabilities, and skills
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.
Preferred qualifications, capabilities, and skills
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