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| Job Location | Australia (Australia) |
| Education | BE/ B.Tech (Engineering) |
| Salary | As per Industry Standards |
| Industry | Internet/Dot com/ISP |
| Functional Area | IT Software : Software Products & Services |
| EmploymentType | Full-time |
: Software Engineer, Site Reliability EngineeringCompany: GoogleLocation: Sydney NSW, AustraliaExperience Level: MidAbout the JobSite Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Clouds servicesboth our internally critical and our externally-visible systemshave reliability, uptime appropriate to customers needs, and a fast rate of improvement. Additionally, SREs 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, youll have the opportunity to manage the complex challenges of scale that are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis, and large-scale system design. SREs culture of 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.The Caching Site Reliability Engineering (SRE) is a team in Core Data Foundations that manages critical, business, and user-impacting services. We provide SRE partnership for the caching and caching-related services like Static Content Service, Laelaps, Punctual, and Memstore. These services underpin Search, Ads, Gaea Identity, Workspace, and many other critical systems.Responsibilities
Keyskills :
software development data structures problem solving system reliability automation techniques algorithms software engineer python production environment infrastructure