8 hours ago
Base Salary
$264k - $380k/yr
Responsibilities
- Design and implement scalable distributed systems for Snowflake cloud services.
- Solve large-scale infrastructure, fault-tolerance, availability, performance, and scalability challenges.
- Evaluate trade-offs among consistency, durability, and cost.
- Ensure operational readiness and meet customer commitments for service availability and performance.
- Mentor and develop junior engineers.
- Apply software engineering and analytical problem-solving skills to business needs at large scale.
Requirements
- 15+ years of industry experience designing, building, and supporting large-scale production infrastructure.
- Experience building large-scale distributed and fault-tolerant infrastructure.
- Experience with container orchestration, cluster management, or autoscaling.
- Strong understanding of operating-system concepts, including multithreading, memory management, networking, storage, performance, and scale.
- Strong understanding of Kubernetes, Mesos, OpenShift, or other container-platform internals.
Tech Stack
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.