Roblox
Senior Software Engineer, Realtime Analytics Platform
$243K–$295K
San Mateo, CA, United States · Senior · Full-time · Posted Oct 20, 2026
- Experience
- 6+ years building, designing, testing, and maintaining production-grade, large-scale distributed systems.
- Education
- B.S. equivalent in CS or sufficient experience.
- Visa sponsorship
- For US-based roles, the company may not be able to employ candidates whose U.S. work authorization is related to certain visa categories, or support future H-1B sponsorship at this time.
About the job
Design, operate, and scale Roblox’s real-time OLAP platform for high-throughput data ingestion and sub-second analytical queries, while advancing AI-driven self-service and data discovery.
What you'll do
- Own the architecture, operational health, and scalability of StarRocks and Apache Druid platforms; optimize query performance and latency.
- Design streaming ingestion pipelines and guide OLAP data modeling and query optimization across teams.
- Manage cluster provisioning, operations, and capacity planning; integrate AI/ML and LLM capabilities for automated self-service and data discovery.
What they ask for
- Deep hands-on engineering or operational experience with StarRocks or an adjacent OLAP engine.
- Experience implementing high-volume streaming ingestion and expertise in OLAP data modeling and query optimization.
- Proficiency in Java, Go, C++, or Scala; experience operating and provisioning large-scale data infrastructure using Kubernetes and Terraform on AWS or GCP.
- Demonstrated technical leadership, including influencing direction across teams, mentoring engineers, and driving alignment.
Nice to have
- Open-source contributions to OLAP databases such as StarRocks, Apache Druid, ClickHouse, or Apache Doris.
- Experience operating real-time analytical platforms at consumer-internet scale (100M+ active users).
Pay
$243,290 — $295,250 USD (base salary)
Tools
StarRocks, Apache Druid, Apache Kafka, Apache Flink, Kubernetes, Terraform, Java, Go
AI focus
Integrate AI/ML and LLM-driven capabilities into query platforms for automated self-service and intelligent data discovery.
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