Design, develop, and maintain automated test scripts and frameworks (Selenium, Appium, RestAssured). Collaborate with dev and QA teams, execute automated suites, analyze results, report defects, and improve CI/CD and test automation strategy while using enterprise-authorized AI-assisted development 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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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

