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StarRocks Expert Database Engineer (Remote)

Deep.BI

Nouveau Remote
Remote 🇬🇧 English
StarRocks Query optimization Indexing Schema design Ingestion pipelines Distributed systems Disaster recovery Linux SQL Kubernetes AWS GCP Azure RBAC Encryption IAM Apache Druid ClickHouse TiDB Apache Cassandra

Description du poste

About the role

We are looking for a StarRocks Expert Database Engineer to join our Open‑Source Database Support team. Working remotely, you will act as the primary L3/L4 technical authority, helping customers resolve the most complex production issues on StarRocks clusters and ensuring high‑performance analytical workloads stay reliable and scalable.

Key responsibilities

  • Diagnose and resolve advanced performance bottlenecks, ingestion failures, and query regressions in StarRocks and other OLAP databases.
  • Optimize queries, schemas, ingestion pipelines, and configuration settings for high‑load environments.
  • Collaborate with Solution Architects to design data models, indexing strategies, and HA/DR architectures.
  • Participate in 24/7 on‑call rotations, providing rapid root‑cause analysis and incident remediation.
  • Apply, validate, and test security patches (CVE remediation) in customer environments.
  • Document best practices, create playbooks, and mentor junior engineers.
  • Optionally support deployment automation with Kubernetes, cloud platforms, and security compliance.

Required profile

  • Minimum 2 years of hands‑on experience operating and troubleshooting production StarRocks clusters.
  • Strong background in query optimization, indexing, schema design, and ingestion pipelines.
  • Solid understanding of distributed systems concepts such as consistency, replication, failover, and scaling.
  • Experience with high‑availability and disaster‑recovery configurations.
  • Proficiency with Linux, basic networking, and SQL.
  • Excellent English communication skills, both written and verbal.

Required skills

  • StarRocks
  • OLAP database troubleshooting
  • Query optimization
  • Indexing and schema design
  • Ingestion pipelines
  • Distributed systems concepts
  • High‑availability & disaster recovery
  • Linux
  • SQL
  • Kubernetes (optional)
  • Cloud platforms: AWS, GCP, Azure (optional)
  • Security practices: RBAC, encryption, IAM (optional)
  • Familiarity with Apache Druid, ClickHouse, TiDB, Apache Cassandra (optional)

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