ClickHouse SRE, Data Platform -USDS
Apply NowCompany: TikTok
Location: Los Angeles, CA 90011
Description:
Responsibilities
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
Qualifications
Minimum Qualifications
- Bachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience
- Experience writing code in Java, Go, Python or a similar language
- Experience with algorithms ,data structures, complexity analysis and software design
Preferred Qualifications
- Knowledge about a variety of strategies for ingesting, modeling, processing, and persisting data, ETL design and dimensional modeling.
- Familiarity with running production grade services at scale and understanding cloud native technologies and networking
- Experience developing tools and APIs to reduce human interaction with systems and applications using a variety of coding and scripting standards
- Expertise in designing, analyzing, and troubleshooting large-scale distributed systems is a plus (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink or comparable solutions)
- Systematic problem-solving approach, coupled with effective communication skills and a sense of drive
Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
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
Qualifications
Minimum Qualifications
- Bachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience
- Experience writing code in Java, Go, Python or a similar language
- Experience with algorithms ,data structures, complexity analysis and software design
Preferred Qualifications
- Knowledge about a variety of strategies for ingesting, modeling, processing, and persisting data, ETL design and dimensional modeling.
- Familiarity with running production grade services at scale and understanding cloud native technologies and networking
- Experience developing tools and APIs to reduce human interaction with systems and applications using a variety of coding and scripting standards
- Expertise in designing, analyzing, and troubleshooting large-scale distributed systems is a plus (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink or comparable solutions)
- Systematic problem-solving approach, coupled with effective communication skills and a sense of drive
Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.