At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services.
Through your leadership and professional expertise, you manage a team or teams, plan project goals and lead the overall strategy for your group.
Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in coding, developing test methodologies, writing test plans, creating test cases, and debugging.
- 4 years of experience testing consumer electronic products, hearables, wearables, or other bluetooth/wireless-enabled consumer devices.
- Experience in one or more programming languages (e.g., Python, Java, C++).
Preferred qualifications:
- Experience testing hearables, wearables, or other Bluetooth/wireless-enabled consumer devices, with an understanding of low battery system logic, Bluetooth Classic/LE, LE Audio, and related test methodologies.
- Experience in one or more programming languages (e.g., Python, Java, C++) and with test infrastructure development and management.
- Ability to drive the adoption of AI/ML solutions within a testing organization to improve overall effectiveness and efficiency.
- Familiar with delivering high-quality products in a fluid, agile environment.
- Excellent communication, collaboration, and influencing skills with the ability to navigate ambiguity.