Minimum qualifications:

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  
• 2 years of experience with data structures/algorithms and software development in one or more programming languages.
  

Preferred qualifications:

• Experience working in computing, distributed systems, storage, or networking.
  
• Experience in designing, analyzing, and troubleshooting large-scale distributed systems.
  
• Ability to debug, optimize code, and automate routine tasks.
  
• Excellent problem-solving and verbal and written communication skills.
  

About the job

Site Reliability Engineering (SRE) is what you get when you treat operations as if it's a software problem. Our mission is to progress, protect, and provide for the software and systems behind all of Google's public services - Search, Ads, Gmail, Android, YouTube, and AppEngine, to name just a few - with an ever-watchful eye on their availability, latency, performance, and capacity.

This is an unusual job, unlike others in the industry. Like traditional operations groups, we keep important, revenue-critical systems up and running despite hurricanes, bandwidth outages, and configuration problems . Unlike traditional operations groups, we also have full access to and authority to fix, extend, and scale the code to keep it working and harden it against all the vagaries of the Internet. We hire people from both systems and software backgrounds. Strong candidates will have experience with both.

Just as what we do is unique, where we do it is unique too. At Google, we have the good fortune to have developed many interesting systems ranging from planet-spanning databases to near real-time scalable data warehousing to fault-tolerant datastream joining . In SRE, we flip between the fine-grained detail of disk driver I/O scheduling to the big picture of continental-level service capacity, across a range of systems and a user population measured in billions. We own those products in production. We drive reliability and performance across massive scale by mastering the full depth of the stack. We literally do learn something new every day - usually surprising things - that have the potential to transform the lives of billions of our users around the world.

Responsibilities

• Write product or system development code.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• 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.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.