Requirements:

5+ years industry experience designing, building and supporting large scale infrastructure in production.
Experience designing, building, and operating large-scale distributed systems infrastructure and control planes supporting stateful services.
Experience in container orchestration, cluster management, or autoscaling.
Excellent understanding of operating systems concepts including multi-threading, memory management, networking and storage, performance and scale.
Systems programming skills including multi-threading, concurrency, etc. Fluency in Java, C++, or C is preferred.
Solid understanding of the internals of Kubernetes, Mesos, OpenShift, or other container platforms.
Experience with scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, etc. a plus.
Track record of delivering highly complex projects in the distributed systems space.
Intense curiosity, willingness to question and passion for making systems better.
BS in Computer Science; Masters or PhD Preferred.

What you'll be doing:

Design and implement scalable distributed system solutions for our cloud agnostic platform.
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.
Own the end to end delivery of your projects, from identifying a solution, to design, implementation, test and safe production rollout.
Understand trade-offs between consistency, durability and costs to build solutions which can meet the demands of rapidly growing services.
Build the next generation transaction system, caching, storage engine and multi tenant capabilities.
Evangelize best practices in database usage and end-to-end architecture.
Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions.

Big Data storage technologies and their applications (HDFS, Cassandra, Columnar Databases, etc.)
Scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, Cassandra, etc.