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TikTok USDS Joint Venture seeks a distributed-systems engineer to optimize core data engines at petabyte scale, leveraging Spark, Kafka, ClickHouse and Doris to drive AI-powered diagnostics and platform intelligence. You will implement cost optimization and robust data pipelines, collaborating across teams in Seattle, using Java/Scala/C++/Python to build high-performance, reliable systems.
This is a hands-on role emphasizing data integrity, disaster recovery, and OLAP analytics in a fast-moving
Optimize the performance and efficiency of core data engines including Apache Spark, Kafka, ClickHouse, and Doris. Develop AI-powered solutions for automated job diagnosis, platform intelligence, and cost optimization at a petabyte scale.
Requires a BS/MS in Computer Science or a related field with over one year of experience building distributed systems. Proficiency in Java, Scala, C++, or Python is required, with a preference for experience in modern big data technologies.
Apache Spark, Kafka, ClickHouse, Doris, Java, Scala, C++, Python, Distributed Systems, AI/ML, Query Tuning, Data Pipelines, OLAP Systems, Resource Optimization, Disaster Recovery, Data Integrity