Software Engineer
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Android Platinum team is dedicated to enhancing the quality of Android releases by establishing and executing critical testing operation on essential devices. The primary mission of Platinum is to implement and maintain a standard for the Android baseline release quality. Furthermore, the team provides Android Engineers with a framework designed to execute critical tests for Critical User Journeys (CUJs). This initiative ensures that builds failing these essential tests are prevented from proceeding to subsequent release phases. Focusing on automation and the development of autonomous agents, the team seeks to significantly improve the efficiency of high-speed critical testing operations and the overall productivity of Android feature development across various form factors.
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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Contribute to the design and implementation of scalable, low-latency tools and infrastructure, responsible for Android releases.
- Write clean and maintainable code using established engineering best practices. Ensure system reliability and security through comprehensive testing and monitoring.
- Serve as a key technical liaison, collaborating closely with multiple internal Google teams.
- Manage ambiguous problems that require strong problem-solving skills and define technical solutions from high-level, evolving product requirements.
- Take ownership of key infrastructural components, managing their full lifecycle from design to deployment and operational support.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks).
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience using data science or statistical methods to derive insights and solve problems.
- Experience with AI/ML powered feature development and productization.
- Experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks).