12 hours ago
Base Salary
$200k - $288k/yr
Responsibilities
- Design and implement scalable distributed systems for the Snowflake services layer.
- Solve fault-tolerance, high-availability, performance, and scale challenges in production systems.
- Analyze trade-offs among consistency, durability, and cost when designing services.
- Lead cross-functional initiatives with engineers, product managers, and Technical Program Managers.
- Ensure operational readiness and meet customer commitments for service availability and performance.
- Build and support cloud provisioning abstractions across AWS, Azure, and Google Cloud.
Requirements
- 7+ years of industry experience designing, building, and supporting large-scale production systems.
- 2+ years of experience leading groups of junior and senior engineers.
- Experience building large-scale distributed, fault-tolerant services and control planes involving compute, storage, networking configuration, and monitoring.
- Strong understanding of operating-system concepts including multithreading, memory management, networking, storage, performance, and scale.
- Strong computer science fundamentals in data structures, algorithms, and distributed systems.
- Systems programming experience with multithreading and concurrency; fluency in C++ or Java preferred.
- Experience with AWS, Azure, or Google Cloud infrastructure.
- Bachelor of Science in Computer Science required; master’s or PhD preferred.
- Track record of identifying and implementing creative solutions.
Benefits
- Opportunity to build Snowflake’s industry-leading Cloud Data Platform and solve challenging distributed-systems and resource-management problems.
- Work with customers and partners and contribute to a highly scalable enterprise SaaS platform.
- For United States roles, salary and benefits information is provided on the Snowflake Careers Site.
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.