ClickHouse SRE, Data Platform -USDS
TikTok.com
Office
Los Angeles, California, United States
Full Time
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 infrastructure
- Design and maintain high-availability architecture for Clickhouse & Doris, including replication, sharding, and failover mechanisms.
- Monitor and optimize Clickhouse & Doris clusters for low-latency, high throughput query performance.
- Troubleshoot slow queries, resource contention, and performance bottlenecks in distributed storage engines.
- Plan and execute cluster scaling strategies to handle data growth.
- Maintain clear runbooks, SOPs, and practice sustainable incident response and blameless postmortems.
- 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 infrastructure
- Design and maintain high-availability architecture for Clickhouse & Doris, including replication, sharding, and failover mechanisms.
- Monitor and optimize Clickhouse & Doris clusters for low-latency, high throughput query performance.
- Troubleshoot slow queries, resource contention, and performance bottlenecks in distributed storage engines.
- Plan and execute cluster scaling strategies to handle data growth.
- Maintain clear runbooks, SOPs, and practice sustainable incident response and blameless postmortems.
- Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
ClickHouse SRE, Data Platform -USDS
Office
Los Angeles, California, United States
Full Time
September 30, 2025