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. 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. Proven experience architecting and operating StarRocks (or similar OLAP) clusters at scale (10B events/day, TB–PB 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. Operational excellence: backup/restore, rolling upgrades, resource governance, and multi-tenant management. Security and compliance: LDAP/OIDC integration, RBAC, encryption, and sensitive data handling. Excellent communication skills; ability to diagram architectures and explain trade-offs to technical and non-technical stakeholders. Nice to Have Experience with other OLAP systems (ClickHouse, Druid, Pinot) and comparative benchmarking. Contributions to StarRocks open source or related communities. Cloud-native deployment experience (Kubernetes, autoscaling, infrastructure-as-code).