Senior Software Engineer, Realtime Analytics Platform

Every day tens of millions of people come to Roblox to explore create play learn and connect with friends in 3D immersive digital experiences all created by our global community of developers and creators.

At Roblox were building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together from anywhere in the world and on any device. Were on a mission to connect a billion people with optimism and civility and looking for amazing talent to help us get there.

A career at Roblox means youll be working to shape the future of human interaction solving unique technical challenges at scale and helping to create safer more civil shared experiences for everyone.

Robloxs 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. Our team directly owns and operates StarRocks and Apache Druid driving high-throughput streaming ingestion and low-latency MPP query processing. You will lead the next-generation architecture of our real-time analytics platform combining high ownership and deep technical complexity to push the boundaries of MPP engine performance streaming ingestion pipelines and cluster scalability.

• Own and Scale Core OLAP Platforms: Take end-to-end ownership of the architecture operational health and scalability of our high-throughput OLAP engines specifically StarRocks and Apache Druid.
• Optimize Query Engine Performance: Dive deep into engine internals 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 data ingestion paths leveraging Apache Kafka Apache Flink and native engine load mechanisms.
• Drive OLAP Data Modeling Best Practices: Partner with infra data science and product engineering teams to guide data modeling for MPP databases optimizing partitioning bucketing sort keys and 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 within our query platforms to enable automated self-serve mechanisms and intelligent data discovery for engineers.

• 6 years of experience building designing testing and maintaining production-grade large-scale distributed systems.
• Deep OLAP & MPP Engine Depth: Strong 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 for massive scale.
• Strong Engineering Foundations: Robust proficiency in Java Go C or Scala with a track record of writing clean highly performant distributed backend code.
• Infrastructure & Orchestration: Experience operating troubleshooting and provisioning data infrastructure at scale using Kubernetes and Terraform on AWS or GCP.
• Technical Leadership: Demonstrated ability to influence technical direction across teams mentor engineers and drive alignment on complex cross-cutting initiatives.
• B.S. equivalent in CS or sufficient experience.
• Bonus Points:
  • Core contributions to open-source OLAP databases (StarRocks Apache Druid ClickHouse Apache Doris).
  • Experience operating real-time analytical platforms at consumer-internet scale (100M active users).