Staff Software Engineer (Unistore)

Join Snowflake, a leading cloud data platform, as a Staff Software Engineer on the Unistore team. In this role, you will contribute to the development of a unified hybrid data platform that combines operational and analytical workloads. You will design and implement novel query optimization and distributed data processing algorithms, develop a petabyte-scale cloud database system, and analyze and resolve complex performance and scalability bottlenecks. You will also mentor junior engineers and ensure operational readiness of services.

• Participate in the development of a unique distributed database system combining high scalability and performance with rich ACID transactions.
• Design and implement novel query optimization or distributed data processing algorithms to maintain Snowflake's industry-leading data warehousing capabilities.
• Own the end-to-end delivery of your projects, including identifying solutions, design, implementation, rigorous testing, and safe production rollout.
• 8+ years of industry experience working on commercial or open-source software
• BS in Computer Science; Masters or PhD Preferred.
• A solid foundation in distributed systems concepts (e.g., consistency, scaling, failure recovery)
• Excellent problem-solving skills and a deep understanding of Computer Science fundamentals, including data structures, algorithms, and distributed systems
• Experience with implementation testing, debugging, and documentation, specifically within a Linux development environment
• Strong fluency in C++ or Java
• Intense curiosity, willingness to question and passion for making systems better
• Strong systems programming skills, including experience with multi-threading and concurrency
• SQL or other database technologies including internal design and implementation
• Experience with internals of distributed key value stores like FoundationDB and storage engines like RocksDB, InnoDB, BerkeleyDB etc
• Experience with MySQL, PostgreSQL internals
• Data warehouse design, database systems, and large-scale data processing solutions like Hadoop and Spark
• Experience in database replication technology
• Big data storage technologies and their applications, e.g., HDFS, Cassandra, Columnar Databases, etc
• Query optimization, query execution, compiler design and implementation