Site Reliability Engineer

Alsogoogle's Eeo Policy
Mountain View, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$152,800.0 - $211,000.0
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Bioinformatics C++ (Programming Language) Cloud Computing Software Debugging Distributed Systems Python (Programming Language) Machine Learning Software Architecture Reliability Engineering
+8 more
Software Engineering Google Cloud Backend Integration Tests Kubernetes Information Technology Api Design Golang

Job description

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Requirements

Share Site Reliability Engineer- SWE- Cloud (Multiple Openings) 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.

Benefits & conditions

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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . Position reports to the Google office & may allow for a hybrid schedule as 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). + 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.

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