观测数据湖存储方向技术专家 - 计算
Core
Design and develop the storage engine for the next-generation observability data lake (Metrics, Event, Log, Trace) to support high-throughput, low-latency, and fault-tolerant operations for AI infrastructure.
Role type
Senior IC storage engineer (observability data lake)
Builds
High-performance storage engine for observability data lake
Domain
Cloud infrastructure + AI observability
Deliverable
production ML models
Required skills
C++ or Java, high-concurrency multi-threaded programming, storage component development, performance tuning, distributed storage principles (LSM tree, leader election, storage-compute separation, multi-replica replication, WAL), KV or columnar storage formats, RocksDB/Parquet/ORC/Lance
Preferred skills
Experience with ClickHouse, Doris, HBase, Kudu, Etcd, leading open-source or enterprise storage engine design
Technologies
C++, Java, RocksDB, Parquet, ORC, Lance, ClickHouse, Doris, HBase, Kudu, Etcd, LSM tree, WAL
Responsibilities
Design and implement storage engine components, optimize system performance, analyze bottlenecks, track and integrate cutting-edge database technologies
Seniority
Senior, hands-on IC
