Principal Software Engineer, Snowflake

• 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

Desirable

• We are looking for an outstanding Principal Software Engineer with a passion for large scale databases and distributed systems to help us take the FDB platform to the next level
• 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