We're looking for a Sr Software Engineer to help build our query engine and tackle big challenges in a fast-growing data company. Our engineers are leading the efforts to drive our large-scale distributed systems to the 10x level while making innovations to our industry-leading analytics capabilities. As a Staff engineer of the Query team, you will be responsible for designing, building, and operating the underlying distributed systems that power our core analytics product and other products (e.g., experiments, CDP, session reply). You will be working at all layers of the query engine from the high-level analytics algorithms to the low-level distributed computation and storage layer. Our systems are based on the modern cloud stack e.g. AWS S3, DynamoDB, Redis/ElastiCache, Kafka, Kubernetes, Terraform, Java, C++, Python. You will be collaborating and sharing your ideas with a group of similarly innovative and curious engineers. Our query engine (Nova) provides us with a competitive edge where we can provide customers with complex insights in real-time, using real-time data, and at a big data scale. A single larger query would require analyzing hundreds of billions of user events in real time. We achieved this by building an in-house OLAP database from the ground up, from the low-level distributed storage and computation layer to the high-level product analytics logic. Our design and architecture draw inspiration from many state-of-the-art systems in the big data space and we learned best practices from Druid, Scuba, Dremel, and other open-source projects (Apache Arrow, Apache IceBerg, etc) to build our own query engine.