From Google's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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 as per Google policy.
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; Improve the whole lifecycle of services from inception and design, through deployment, operation, and refinement; 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.
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.
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.
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