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FDB runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. The elastic infrastructure FDB runs on is being built from the ground up and is envisioned to be a cloud agnostic, fully automated manageability platform that provides:
Autoscaling and auto-balancing of clusters based on utilization, traffic and workloads
Auto-provisioning of new clusters with zero manual intervention
Self-healing capabilities that prevent, mitigate and resolve any production impact
Built-in configuration management that guarantees FDB runs correctly and on the intended topologies
Self-optimizing COGS efficiency, ensuring we run our clusters at optimal utilization
Lead a team responsible for the health and growth of the FDB platform service at Snowflake
Design and implement scalable distributed system solutions for our cloud agnostic platform, with features including
Auto-provisioning, Auto-scaling and auto-balancing clusters based on utilization and workloads
Self-healing capabilities that prevent, mitigate and resolve any production impact
Built-in cluster configuration management with release automation
Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.
Own the end to end health and growth of the FDB platform, including identifying the right problems to solve, the solution, design, implementation, as well as testing strategy, safe production rollout and stability.
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.
Mentor and grow engineers.
10+ years industry experience designing, building and supporting large scale infrastructure in production.
Experience designing, building, and operating large-scale distributed systems 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 leading and delivering highly complex projects in the distributed systems space
Intense curiosity, willingness to question and passion for making systems better
Experience with one or more of the following highly desired:
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.
BS in Computer Science; Masters or PhD Preferred.
About FoundationDB:
The following represents the expected range of compensation for this role:
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