Base Salary
$264k - $380k/yr
Responsibilities
- Design, develop, and support fault-tolerant, scalable distributed systems for Snowgrid and Data Sharing.
- Create system architecture and designs, influence the product roadmap, and own new projects.
- Analyze and resolve fault-tolerance, high-availability, performance, and scale challenges.
- Make trade-offs among consistency, performance, and cost to meet growing service demands.
- Ensure operational readiness and customer commitments for durability, availability, and performance.
- Mentor and grow junior engineers.
- Collaborate effectively across engineering teams in multiple locations.
Requirements
- 15+ years of industry experience designing, building, and supporting large-scale distributed services.
- Strong computer science fundamentals, including data structures, algorithms, and distributed systems.
- Strong understanding of operating systems concepts, including multithreading, memory management, networking, storage, performance, and scale.
- Fluency in Java or a similar procedural object-oriented language is preferred.
- Demonstrated ability to identify and implement creative solutions to complex problems.
- Bachelor of Science in Computer Science required; a master’s degree or PhD is preferred.
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.