Database Technical Support Engineer

About the Role
Looking for an experienced Database Technical Support Engineer to support enterprise customers running mission-critical deployments.
This role combines database administration, production troubleshooting, and customer-facing technical support. You will work closely with customers and our engineering/R&D teams to diagnose complex database issues, optimize system performance, and ensure the stability and reliability of production environments.
Key Responsibilities

• Provide technical support for enterprise customers using VeloDB / Apache Doris in production environments.
• Diagnose and resolve issues related to database deployment, configuration, operation, performance, and availability.
• Troubleshoot distributed database clusters, including SQL execution, data ingestion, storage, networking, and system resource issues.
• Perform root cause analysis (RCA) for complex production incidents and provide clear technical recommendations.
• Support database installation, upgrades, migrations, backup & recovery, and high-availability configurations.
• Analyze and optimize SQL queries, schemas, partitions, indexes, and system configurations to improve database performance.
• Work directly with customers to understand technical issues, manage support cases, and drive issues through resolution.
• Collaborate closely with VeloDB engineering and R&D teams to reproduce issues, identify bugs, and improve product reliability.
• Develop technical documentation, troubleshooting guides, and internal knowledge-base articles.
• Participate in escalation and on-call support when needed.

Qualifications

• 5+ years of experience in database administration, database engineering, production engineering, or technical support.
• Hands-on experience with distributed or analytical databases.
• Strong knowledge of SQL and Linux.
• Experience managing and troubleshooting production database clusters.
• Strong understanding of distributed systems, high availability, fault tolerance, backup & recovery, and database performance optimization.
• Strong troubleshooting and root-cause-analysis skills.
• Ability to communicate effectively with both customers and engineering teams.
• Comfortable working independently in a remote environment.

Preferred Qualifications

• Experience with Apache Doris / VeloDB, ClickHouse, StarRocks, Teradata, Greenplum, Vertica, or similar analytical/database platforms.
• Experience with AWS, Google Cloud Platform, or Azure.
• Familiarity with Kubernetes and containerized database deployments.
• Experience with data ecosystem technologies such as Kafka, Flink, or Spark.
• Familiarity with monitoring tools such as Prometheus and Grafana.