Mobile QA Automation

Role: Mobile QA Automation

Location: Manhattan, NY (5 days Onsite)

Duration: Contract

Key Responsibilities

• Design, develop, and maintain automated test scripts for iOS and Android mobile applications.
• Build and enhance mobile automation frameworks using Appium, Espresso, and XCUITest.
• Execute functional, regression, integration, and end-to-end testing.
• Collaborate with developers, product owners, and QA teams to ensure application quality.
• Identify, document, and track defects through resolution.
• Validate application functionality across multiple devices, OS versions, and screen sizes.
• Perform accessibility testing to ensure compliance with accessibility standards and best practices.
• Participate in Agile ceremonies, sprint planning, and release activities.
• Integrate automated test suites into CI/CD pipelines where applicable.

Required Skills

8+ years of applied experience in Quality Engineering / QA, including hands-on mobile application testing across iOS and Android.

Demonstrated experience performing both manual testing (functional, regression, exploratory) and automated testing for mobile applications

Required: 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)

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

Familiarity with agile methodologies and participating in sprint ceremonies with a quality-first mindset