Big-data platform and operations optimization for enterprise IT
华软世纪 operates a big-data stack spanning Storm, Spark, Flink, and Kafka layered on top of Hadoop and ClickHouse, built primarily in Java and Scala. The company is hiring heavily into operations (5 open roles) and sales (3 roles) with senior-level and director-track positions, suggesting a push to scale delivery and customer acquisition alongside infrastructure maturity. Pain points cluster around ops system reliability and customer retention, not platform-building—indicating they've moved beyond internal tooling into a services or product business.
华软世纪 is a Beijing-based IT services and data platform company serving enterprise customers in China. Their technical foundation is a distributed big-data stack built on Apache ecosystem components (Spark, Flink, Kafka, Hadoop) combined with modern columnar storage (ClickHouse), data lakehouse frameworks (Iceberg, Hudi), and standard monitoring and infrastructure automation (Prometheus, Zabbix, Ansible). The company is actively working on data lake implementations, ClickHouse analytics deployments, and system optimization initiatives. Current hiring focus is operations-heavy, suggesting either managed services delivery or internal scaling challenges around uptime and architecture stability.
The company uses Apache Spark, Flink, Storm, and Kafka for streaming and batch processing, ClickHouse for analytics, and Hadoop/Yarn for distributed compute. Data lakehouse frameworks include Iceberg and Hudi. Backend services are built in Java and Scala.
The company is based in Beijing, China (北京市) and hires exclusively within China.
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