Mobile Automation Testing Software Engineer III

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Mobile Automation Testing Software Engineer III at JPMorganChase within the Consumer and Community Bank- Business Banking, 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 Executes standard quality engineering solutions including test planning, test design, manual testing, test automation, defect triage, and test reporting for iOS and Android mobile applications Creates and maintains clear test cases, test charters, and regression suites with traceability to requirements and acceptance criteria Develops and maintains automated tests (unit/integration/UI) and contributes to CI pipelines to provide fast, reliable quality signals Performs technical troubleshooting to isolate issues, reproduce defects, analyze logs/crash reports, and communicate root cause hypotheses to engineering partners Tests with consideration of upstream/downstream services, APIs, data dependencies, and environment impacts (including mocking/stubbing where appropriate) Collaborates within an agile team to shift testing left, improve Definition of Done, and continuously enhance test coverage and reliability 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 Strong experience in Quality Engineering / QA, including hands-on mobile application testing across iOS and Android and demonstrated experience performing both manual testing (functional, regression, exploratory) and automated testing for mobile applications Working proficiency with Android Studio and Xcode for building/running apps, inspecting logs, debugging, and working with simulators/emulators Experience with mobile automation frameworks/tools (examples include Appium, Espresso, UIAutomator, XCUITest, XCTest; equivalent frameworks acceptable) Ability to design effective test strategies across layers (UI, API/service, integration) and select the right automation level for stability and ROI Experience testing modern mobile app architectures and patterns (e.g., MVC/MVVM) and understanding of how they impact testability Strong knowledge of CI/CD concepts and experience integrating automated tests into pipelines (e.g., Jenkins, GitHub Actions, Bitrise or similar), including proficiency with Git source control and collaboration workflows (PR reviews, branching strategies, etc.) Solid understanding of mobile security and authentication fundamentals (e.g., OAuth2/OIDC/PKCE, biometrics, secure storage) sufficient to validate expected behaviors and identify risks Strong analytical skills: able to gather information from logs, device signals, and test results to diagnose and communicate issues clearly 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 Experience building or contributing to a mobile test automation framework (page/screen object model, test data strategy, reporting, flake reduction) Experience validating Accessibility on mobile and knowledge of WCAG and Apple/Android accessibility expectations Experience with Design Systems and UI component libraries (including validation of consistency and theming/white-labeling) Experience with API testing tools and practices (e.g., Postman, contract testing, service virtualization) in support of mobile testing