Site Reliability Intern
Our engineers create, fix, extend, and scale the code to keep it working and to harden it against all the bad actors of the internet. We drive reliability and performance on a massive scale. You will work on software development projects to keep important business generating-critical systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of our services, from monitoring and alerts to building automation infrastructure.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $118000 - $157000 (USD) + 0% bonus target
Learn more about benefits at Google.
Develop scripts to automate routine tasks.
Analyze information and evaluate results to choose the best solution to effectively solve issues.
Apply knowledge gained in computer science courses to real world challenges.
Create and support a productive and innovative team including working with peers, managers, and teams.
Minimum qualifications
Pursuing a PhD program in Computer Science or a related technical field.
Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python.
Preferred qualifications
Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
- In their penultimate academic year or returning to a degree program after
- completion of the internship.
Experience conducting research in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.
Experience in computer science, data structures, algorithms, and software design.
Pursuing a PhD program in Computer Science or a related technical field.
Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python.