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.
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 - Hands-on experience managing Clickhouse and/or Apache Doris clusters in production environments - Knowledge of columnar storage, data compression, and query execution engines - Experience managing distributed OLAP databases with sharding, replication, and high availability setups - Hands-on experience with observability tools such as Prometheus & Grafana. Preferred Qualifications - Experience with schema evolution, data compaction strategies, and partition pruning to optimize storage and query performance. - Familiarity with Clickhouse & Doris integrations with kafka, flink and hive. - Familiarity with zookeeper-based coordination and leader election mechanisms in Clickhouse/Doris. - Familiarity with running production grade services at scale and understanding cloud native technologies, networking & storage management. - 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, 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.
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