12 hours ago
Base Salary
$200k - $287k/yr
Responsibilities
- Identify strategically important problems, inefficiencies, and opportunities for impactful improvements.
- Own end-to-end project delivery from solution identification and design through implementation, testing, and safe production rollout.
- Design and implement high-performance systems that handle increasing database request rates.
- Build next-generation transaction systems, caching, storage engines, and multi-tenant capabilities.
- Analyze performance and scalability bottlenecks, instrument system components, and implement solutions.
- Evangelize best practices in database usage and end-to-end architecture.
Requirements
- 6+ years of hands-on software engineering experience.
- Systems programming skills in multithreading and concurrency, with fluency in C++, C, or Java preferred.
- Experience designing, building, and operating large-scale distributed systems or web services.
- Experience with scalable key-value stores such as FoundationDB, RocksDB, LevelDB, DynamoDB, or Redis is a plus.
- Strong computer science fundamentals, including data structures, algorithms, and distributed systems.
- Track record of delivering highly complex projects in the distributed systems space.
- BS in Computer Science required; a master’s degree or PhD preferred.
- Strong technical problem-solving, communication, and collaboration skills, with curiosity and enthusiasm for difficult technical problems.
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.