Job Description
We are seeking a hands-on StarRocks Engineer to join our Developer Observability team. You will architect, operate, and optimize large-scale StarRocks deployments powering real-time analytics and observability dashboards. This role requires deep expertise in StarRocks internals, performance tuning, operational excellence, and integration with modern data pipelines.Responsibilities:Design, build, and maintain production-grade StarRocks clusters for high-volume, low-latency analytics workloads.Lead schema/data modeling for clickstream, dimensional, and time-series data, ensuring deduplication, upserts, and efficient partitioning.Optimize query performance using materialized views, indexes, and advanced StarRocks features (vectorization, pipeline execution).Diagnose and resolve high-severity incidents, leveraging logs, metrics, and profiling tools; implement permanent fixes and guardrails.Plan and execute capacity planning, scaling, and resource management for multi-tenant environments.Develop and enforce backup, disaster recovery, and upgrade strategies with minimal downtime.Implement security best practices: AuthN/AuthZ, encryption, auditing, and data masking.Collaborate with engineering and SRE teams to define SLOs, observability dashboards, and alerting for StarRocks infrastructure.
Responsibilities + Skills
Education
Proven experience architecting and operating StarRocks (or similar OLAP) clusters at scale (10B+ events/day, TBPB data).Deep understanding of StarRocks FE/BE architecture, storage engines, compaction, and cost-based optimizer.Expertise in schema design, partitioning, bucketing, and index/encoding strategies for hot/cold data tiers.Strong troubleshooting skills: root cause analysis, performance profiling, and incident response.Experience with ingestion pipelines (Kafka/Kinesis), exactly-once semantics, and CDC-based upserts.Familiarity with materialized view design, refresh policies, and query rewrite mechanics.
Experience
