Software Engineer III

We have an exciting and rewarding opportunity for you to elevate your software engineering career.

As a Software Engineer III - AI Automation Test Engineer at JPMorgan Chase, you will be an integral part of the Consumer & Community Banking. Collaborating with experienced engineers, managers, and business teams, you will contribute to building digital products and services utilized by our engineering partners across the organization. Your role as a test engineering expert will involve enhancing and scaling test automation frameworks, championing modern test engineering practices, and driving automation coverage throughout the development lifecycle.

Job Responsibilities

Review requirements, specifications, and technical design documents; provide timely, meaningful feedback.

Create comprehensive, well-structured test plans/cases; analyze and develop complex test data sets.

Design, develop, and implement automation scripts, automated tests, and test environments.

Estimate, prioritize, plan, and coordinate testing activities, including test scenarios and acceptance tests.

Develop test infrastructure tools across multiple platforms (web, mobile, desktop).

Partner with developers, program managers, and design teams on technical implementation and user scenarios; identify/eliminate or automate recurring issues to improve operational stability.

Collaborate with deployment teams to troubleshoot and resolve system issues.

Monitor and improve testing effectiveness across the SDLC using insights from all stages.

Automate and maintain in-sprint and regression suites (Java/Cucumber/Selenium, API automation via Java/Rest Assured) and drive UAT automation within front-end frameworks as the tooling point of contact.

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 in software engineering concepts with applied experience.

Hands-on experience in software testing, QA automation, and developing business-driven development automated frameworks using Cucumber, including writing feature files (Gherkin) and step definitions from scratch.

Experience in designing and developing UI automated scripts (Selenium, Cypress, or Playwright) and API (REST and SOAP) automated frameworks (RestAssured, SOAP UI), including data mocking and stubbing (Mockito).

Experience in designing and developing performance testing frameworks (Blazemeter, Apache JMeter).

Experience in developing mobile automated testing frameworks (Appium).

Proficient in tools such as Gradle, Maven, Git, Bitbucket, JIRA, Confluence, qTest, JMeter/Load Runner.

Experience in setting up, configuring, and running automated tests in parallel across different environments/browsers/mobile (Saucelabs Mobile and Web Integration, Selenium Grid).

Experience in automating desktop applications (UiPath, Blue Prism, Ranorex).

Experience working in a scrum team Agile setting, writing and documenting test cases/scenarios, test execution, defect reporting, and supporting production validation testing.

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

• Hands-on experience using AI tools (e.g., GitHub Copilot and similar) to accelerate development and maintenance of test automation suites.
• Experience with automated and scheduled deployments via CI/CD pipelines (Jenkins Pipelines) across cloud platforms (AWS, Azure).
• Proficient in at least one object-oriented language and SQL; working knowledge of accessibility, security, and resiliency testing.