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 (Java, Python, Go, C, C++).

Preferred qualifications:

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

About the job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services-both our internally critical and our externally-visible systems-have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE's will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you'll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Responsibilities

• Maintain engineering excellence on both Telecommunication Infrastructure (TI) and Cloud turnup.
• 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.
  
• Lead design reviews with peers and stakeholders to decide among available technologies.