Software Engineer IV, Full Stack, Android
2 months ago
As a software engineer at Google, you will have the opportunity to work on a specific project critical to our needs, with opportunities to switch teams and projects as our business grows and evolves.
Responsibilities- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices.
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- 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 in an industry setting.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
- 2 years of experience with full stack development, across back-end such as Java, Python, GO, and/or C++ codebases, and front-end experience including JavaScript and/or TypeScript, HTML, CSS or equivalent.
- Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
- Experience developing accessible technologies.
- Proficiency in code and system health, diagnosis and resolution, and software test engineering.
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.
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