Software Engineer, KV Stores & Caching
About The Position
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 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 K/V 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 Difference You Will Make: You will contribute to building and scaling the critical infrastructure that powers Airbnb's online serving storage systems, working on challenging technical problems in distributed systems while learning from experienced engineers. Examples of the types of projects you will work on include: Implementing features to evolve our KV store from derived-data workloads to support system-of-record use cases Improving caching solutions used across Airbnb Implementing observability features that help teams debug latency issues across the caching stack Developing tooling to safely perform rolling upgrades across hundreds of cache clusters Profiling and optimizing hot paths in our KV client libraries to reduce P99 latency
Requirements
- 3+ years of relevant industry experience.
- Strong collaboration and communication skills, with the ability to work effectively across teams.
- Solid understanding of distributed systems fundamentals and a desire to deepen your expertise in this area.
- Ability to write clean, readable, testable, and maintainable code.
- Experience onboarding to and contributing to a complex codebase.
- Enthusiasm for learning and growing your skills in infrastructure engineering.
Nice To Haves
- Exposure to distributed caching systems, KV stores, or similar infrastructure is a plus.
Responsibilities
- Contributing to building and scaling the critical infrastructure that powers Airbnb's online serving storage systems
- Working on challenging technical problems in distributed systems
- Implementing features to evolve our KV store from derived-data workloads to support system-of-record use cases
- Improving caching solutions used across Airbnb
- Implementing observability features that help teams debug latency issues across the caching stack
- Developing tooling to safely perform rolling upgrades across hundreds of cache clusters
- Profiling and optimizing hot paths in our KV client libraries to reduce P99 latency
Benefits
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
