Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Online Data organization ensures Airbnb customers are delighted in experiences backed by real-time data. We empower Airbnb’s builders to create these experiences by offering intuitive data interfaces and tools without the need to be database experts. The Difference You Will Make: We’re hiring across multiple teams within our organization. Explore the section below to learn more about each team and the opportunities available. The KV Stores & Caching team within Airbnb's Online Data org owns and operates critical pieces of Airbnb's online serving storage systems. Specifically, the team owns and is responsible for: A highly available, low-latency, distributed, multi-tenant KV store for Airbnb. This platform is used by user profiling, Search, ML, and pricing teams, supporting millions of read QPS and providing 99.9+% availability across thousands of customer tables. A set of control planes and clients that manage ElasticCache clusters for hundreds of Airbnb production clusters, at million+ IOPS and million+ indexing QPS. A scalable, reliable, performant distributed coordination service supporting many mission-critical systems (MySQL, Redis, Kafka, Flink, Druid, Zookeeper, etc). The mission of the Ingestion team in the Online Database Infrastructure org is to provide a managed, reliable, performant and scalable platform for exporting data out of Airbnb’s online databases for asynchronous processing. The team currently builds and operates two managed solutions - one for near real time access to change logs (CDC) and another to provide periodic mutation and full table snapshots. As a member of this team you would be working with talented engineers on cutting edge technologies to help support Airbnb’s business. You will be the resident expert on the online data exports platform and guide and collaborate with our internal product teams to effectively use the platform.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees