Google

Site Reliability Engineer- SWE- Cloud (multiple openings)

Google Sunnyvale, California, United States · $153K–$211K/yr

Software Development · 10,001+ employees

5 d ago
sre Mid (2-5 yrs) Full-time United States
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About the role

The role involves writing and reviewing product code, managing service lifecycles, and performing system design and capacity planning. Additionally, the engineer will monitor system health, lead incident responses, and build automation to improve service reliability and velocity.

What they look for

C++ Python Java Go JavaScript Distributed systems Backend systems Software architecture Debugging Troubleshooting Kubernetes API design Performance analysis Machine learning infrastructure Applied AI Integration testing

Requirements

Candidates must have a bachelor's degree in a technical field and at least 2 years of experience in software development and site reliability engineering. Proficiency in specific programming languages and experience with distributed systems, backend architecture, and system design are required.

Benefits

Bonus Equity Health Insurance

Full description

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field and 2 years of experience in the job offered or in a Site Reliability Engineer-related occupation.
  • Position requires the following: 2 years of experience in Software development utilizing C++, Python, Java, Go, or JavaScript; 2 years of experience in all the following: Distributed systems, Backend systems, Software architecture for scaled and reliable systems, Debugging/troubleshooting, and Software or System design; 2 years of experience in two of the following: Incident response management, Kubernetes, API design, Performance analysis, Machine learning infrastructure, Applied AI, improving efficiency of the system, security, integration testing, or real-time monitoring and alerting; and 1 year of experience in Distributed computing.

About the job:

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $152,800 - $211,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google office & may allow for a hybrid schedule per Google policy.

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); and 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; Improve the whole lifecycle of services from inception and design, through deployment, operation, and refinement; and Manage support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
  • Provide guidance to other team members on managing availability and performance of mission critical services, on building automation to prevent problem recurrence, and on building automated responses for non-exceptional service conditions.
  • Maintain services once they are live by measuring and monitoring availability, latency, and overall system health; Lead sustainable incident response and blameless postmortems; and Scale systems sustainably through mechanisms like automation and evolve systems by driving changes that improve reliability and velocity.

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