ClickHouse Site Reliability Engineer, Data Platform - USDS
Mountain View, California, United States
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed services and infrastructures. As a site reliability engineer in the data platform area, you will have the opportunity to manage the services and infrastructures in one of the largest data plaforms in the world that directly supports the TikTok app. You'll need to ensure the data, services and infrastructures are reliable, fault-tolerant, efficiently scalable and cost-effective.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
• Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation and refinement
• Ensure reliable, fault-tolerant, efficiently scalable and cost-effective data, services and infrastructures
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health. Practice sustainable incident response and blameless postmortems.
• Establish best engineering practice for engineers as well as non-technical people
• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
• Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation and refinement
• Ensure reliable, fault-tolerant, efficiently scalable and cost-effective data, services and infrastructures
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health. Practice sustainable incident response and blameless postmortems.
• Establish best engineering practice for engineers as well as non-technical people
• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Big Data Jobs
Engineering Jobs
Tags: Big Data Engineering
Region:
North America
Country:
United States
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