Android Automation Engineer

Responsibilities:

• Understand the business requirements and Develop and execute comprehensive test strategies, including functional, integration, regression, and performance testing, with a focus on core Android internals, APIs, lifecycles, and instrumentation.
• Dive deep into design/architecture for Android System, Framework, Kernel, TA alongside with requirements to design cases.
• Build maintainable, high quality and effective automated tests for Knox services.
• Architect, design, and implement advanced test automation frameworks specifically for Android systems, ensuring broad coverage for different layers.
• End to end testing of a product including automation on android mobile devices.
• Conduct performance and benchmark testing for key system metrics, including battery life, memory usage, and boot time. Monitor and track performance regressions.
• Perform in-depth debugging and analysis of failures using Android tools like ADB, logcat, and tombstone. Provide clear root cause analysis to the development teams.
• Takes ownership/responsibility for the product quality during monthly releases
• Co-ordinate with program management, Developers and QA leads.
• Help in building Engineering culture that enables quality in all software features across Knox services.

Qualifications:

• 5+ minimum years' experience in Android System testing
• 2+ Years Experience in Android System/Framework Automation
• Expertise in Android system and its layered architecture, from the foundation of the Linux kernel to the user-facing applications the Android including Framework and system level security concepts like ARM's TrustZone.
• Expertise with standard Android testing and debugging tools, including Android Debug Bridge (ADB), logcat, and the Memory Analyzer Tool.
• Extensive coding skills in Java or Python.
• Excellent understanding of QA processes and methodologies

Preferred Qualifications

• Previous experience in the testing or development of Android Open-Source Project (AOSP) or custom Android versions.
• Familiarity with Android build systems, such as Gradle.
• AI/ML Testing: Experience with validating AI functionality on Android devices and refining AI evaluation datasets.

Education: Masters in Computer Science or equivalent

Job Type: Contract

Pay: $80.00 - $84.00 per hour

Expected hours: 40 per week

Ability to Commute:

• Mountain View, CA 94043 (Required)

Work Location: In person