Support Engineer - China (alibaba Cloud Strategic Accounts) 支持工程师 - 中国(阿里云战略客户)

ClickHouse ClickHouse · Data AI · APJ · Engineering

This role is for a Support Engineer focused on ClickHouse, a real-time analytics and data warehousing platform, for strategic enterprise customers in China using Alibaba Cloud. The role involves front-line technical ownership, issue resolution, customer relationship building, and contributing to internal tooling and documentation. It requires expertise in database internals, SQL, Linux, and cloud platforms, with a strong emphasis on customer support and problem-solving within SLA constraints.

What you'd actually do

  1. Own the full lifecycle of customer issues for ClickHouse strategic accounts on Alibaba Cloud in the China region — from intake and reproduction through to root-cause analysis, resolution, and post-incident follow-up.
  2. Triage, classify, and track incoming cases; identify recurring patterns across customers and feed them back into knowledge base articles, runbooks, and product feedback for our Core, Cloud, and Engineering teams.
  3. Diagnose and resolve issues spanning SQL and query performance, schema and table-engine design, replication and sharding, ingestion pipelines, materialized views, resource utilization, and cluster operations.
  4. Advise customers on ClickHouse best practices, capacity planning, and configuration tuning for workloads running on cloud infrastructure.
  5. Escalate complex or product-level issues through the appropriate channels to our global Core Database and Cloud Engineering teams, while remaining the single point of contact for the customer until resolution.

Skills

Required

  • technical support
  • DBA
  • SRE
  • database engineering
  • enterprise customers
  • Alibaba Cloud
  • SQL
  • Linux
  • distributed systems
  • cloud computing platforms
  • Chinese (Mandarin)
  • English

Nice to have

  • ClickHouse
  • Shell scripting
  • Python scripting
  • C++ code
  • Kubernetes
  • Terraform
  • infrastructure-as-code
  • streaming tools
  • data pipeline tools
  • observability stacks
  • financial services customers
  • Open-source contributions
  • conference talks
  • community involvement

What the JD emphasized

  • SLA
  • SLA-driven environments
  • strategic customer POCs
  • English
  • Chinese (Mandarin)