Senior Software Engineer, Realtime Analytics Platform
Roblox · San Mateo, CA, United States
About this role
**Senior Software Engineer, Realtime Analytics Platform** ## About Roblox Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences—created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience they can imagine to life. Our vision is to reimagine how people come together, from anywhere in the world, and on any device. A career at Roblox means shaping the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ## Your Role Roblox’s data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions for a platform serving 200M+ daily active users. As a **Senior Software Engineer** on our **Real-time Analytics Platform** team, you will design, build, and scale the core OLAP infrastructure powering **sub-second analytical queries** across Roblox. The team directly owns and operates **StarRocks** and **Apache Druid**, driving high-throughput streaming ingestion and low-latency MPP query processing. You’ll lead the next-generation architecture of our real-time analytics platform—combining high ownership with deep technical complexity across MPP engine performance, streaming ingestion pipelines, and cluster scalability. ## You Will - **Own and Scale Core OLAP Platforms:** End-to-end ownership of architecture, operational health, and scalability for high-throughput OLAP engines (**StarRocks** and **Apache Druid**). - **Optimize Query Engine Performance:** Work in engine internals including cost-based optimization (CBO), query planning, vectorized execution, memory optimization, and serialization efficiency to maximize throughput and maintain sub-second latency under heavy concurrent load. - **Architect Streaming Ingestion Pipelines:** Design, build, and optimize real-time ingestion paths using **Apache Kafka**, **Apache Flink**, and native engine load mechanisms. - **Drive OLAP Data Modeling Best Practices:** Partner with infra, data science, and product engineering to guide data modeling for MPP databases (partitioning, bucketing, sort keys, materialized views). - **Manage Cluster Infrastructure & Capacity:** Lead cluster provisioning, lifecycle management, operations, and capacity planning using **Kubernetes** and **Terraform** across cloud environments. - **Advance Autonomous Interfaces:** Integrate AI/ML and LLM-driven capabilities to enable automated self-serve mechanisms and intelligent data discovery for engineers. ## You Have - **6+ years** building, designing, testing, and maintaining production-grade, large-scale distributed systems. - **Deep OLAP & MPP engine depth:** Hands-on engineering or operational experience with **StarRocks** or adjacent OLAP engines such as **Apache Druid**, **ClickHouse**, **Apache Doris**, **Apache Pinot**, or **Trino/Presto**. - **Streaming & ingestion architecture:** Proven track record implementing high-volume streaming ingestion using **Apache Kafka**, **Apache Flink**, Routine Load / Broker Load, or Debezium/CDC pipelines. - **Data modeling & query optimization:** Expertise in OLAP schema design (partitioning, bucketing, sort keys, indexing) and tuning cost-based SQL query engines at massive scale. - **Strong engineering foundations:** Proficiency in **Java**, **Go**, **C++**, or **Scala*
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