Site Reliability Engineer, Ai & Data Platforms

We are hiring a Site Reliability Engineer to Build, support and improve Keystone, an ETL application/platform operating in the China region. Keystone supports data ingestion, transformation, and loading workflows across Kubernetes-based environments, including Airflow-based loader jobs that load data into Snowflake and Spark-on-EKS loader jobs that load data into a Datalake or Lakehouse environment.

The SRE will own reliability, availability, performance, data freshness, and operational readiness for production ETL pipelines. This role requires strong hands-on experience with Linux, Kubernetes, Spark, Airflow, Kafka or streaming systems, Snowflake, object storage, observability, and incident response.

The ideal candidate can troubleshoot distributed data platform issues from logs, metrics, timestamps, pipeline state, and infrastructure signals, and can drive permanent fixes through configuration improvements, automation, tuning, and engineering partnership.

This position is based in Shanghai, China.