Base Salary
$236k - $339k/yr
Responsibilities
- Design and implement scalable distributed-system solutions for Snowflake’s cloud-agnostic FDB platform.
- Analyze and resolve fault-tolerance, high-availability, performance, and scale challenges.
- Own end-to-end project delivery from solution identification through design, implementation, testing, and safe production rollout.
- Balance consistency, durability, and cost requirements for rapidly growing services.
- Build transaction-system, caching, storage-engine, and multi-tenant capabilities.
- Promote database-usage and end-to-end architecture best practices.
- Identify system problems, instrument relevant components, and implement solutions.
Requirements
- 8+ years of industry experience designing, building, and supporting large-scale infrastructure in production.
- Experience designing, building, and operating large-scale distributed systems infrastructure for stateful services.
- Experience with container orchestration, cluster management, or autoscaling.
- Strong understanding of operating systems concepts, including multithreading, memory management, networking, storage, performance, and scale.
- Systems programming and concurrency skills with fluency in Java.
- Strong understanding of Kubernetes, Mesos, OpenShift, or other container platforms.
- Experience with scalable key-value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, or Cassandra is preferred.
- Experience with big-data storage technologies such as HDFS and columnar databases is highly desired.
- Track record of delivering complex distributed-systems projects.
- Bachelor of Science in Computer Science required; a master’s degree or PhD is preferred.
Tech Stack
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.