Develop and maintain automated test scripts and scalable QA frameworks using Java, Selenium, Appium, JUnit, TestNG, Cucumber, and RestAssured. Create test plans, execute automated suites, analyze results, document defects, troubleshoot failures, and collaborate with development teams. Support API testing, CI/CD integration, software lifecycle practices, and responsible use of AI-assisted engineering tools.
Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your responsibilities include implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm’s objectives.
Job responsibilities
- Design, develop, and maintain automated test scripts using industry-standard tools and frameworks (e.g., Selenium, JUnit, TestNG, RestAssured).
- Collaborate with development and QA teams to understand application requirements and create comprehensive test plans.
- Execute automated test suites, analyze results, and report defects with clear documentation.
- Identify opportunities for test automation and contribute to the overall test strategy.
- Maintain and enhance the automation framework for scalability and reusability.
- Troubleshoot test failures and work with development teams to resolve issues.
- Stay up-to-date with emerging trends and technologies in test automation
- 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
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proven experience in software test automation
- Proficiency in programming languages such as Java, Python, or JavaScript.
- Hands-on experience with test automation tools (e.g., Selenium, Appium, ).
- Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI).
- Strong knowledge in Test Framework( Cucmber,TestNG,RestAssured)
- Strong understanding of software development lifecycle and QA methodologies.
- Excellent problem-solving and analytical skills. Strong communication and teamwork abilities.
- Experience with API testing tools (e.g., Postman, RestAssured).
- 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
- Knowledge of performance and security testing.
- Experience in Agile/Scrum environments
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