Snowflake SENIOR SOFTWARE ENGINEER- DATABASE INTERNALS 

United States, Washington, Bellevue 

192930240

• Identify and implement novel query optimization, transaction management, or distributed data processing algorithms which allow Snowflake to deliver industry-leading cloud database systems

• Build the next-generation transaction system, storage engine and multi-tenant database system

• Analyze and understand performance and scalability bottlenecks in the system and solve them

• Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions

• Design, develop, and support a highly-parallel and fault-tolerant database system comprising many technologies

• Deal with issues from logical representation of the execution plan to efficient resource management, all the way down to highly specialized vectorized execution

• Evaluate and determine priorities with a critical understanding of where performance matters most

• Design and implement critical high-performance systems to handle the ever growing request rate of our database

• Own the end to end delivery of your projects, from identifying a solution, to design, implementation, testing and safe production rollout

• Evangelize best practices in database usage and end-to-end architecture

• 5+ years hands-on software engineering experience

• Significant background in database internals or building core components (query language, query compilation, query execution, storage engines, transaction processing) for large-scale data processing systems (e.g. Hadoop, Spark, Presto, etc.)

• Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems (Fluency in C++, C, or Java preferred)

• Expertise in systems fundamentals including multi-threading, concurrency, IO subsystems and scheduling

• Strong database fundamentals including SQL, performance, and schema design

• Strong communication, and collaboration skills

• Experience with one or more of the following highly desired:

  • Big Data storage technologies and their applications (HDFS, Cassandra, Columnar Databases, etc.)

  • Scalable Key-Value stores such as FoundationDB, RocksDB/LevelDB, DynamoDB, Redis, Cassandra, etc.

  • Advanced Analytics systems (e.g. Time-Series, Complex Event Processing, Forecasting, etc.)

• Intense curiosity, willingness to question, and passion for solving hard technical problems and making systems better

• Experience designing, building, and operating large-scale distributed systems or web services

• Track record of identifying and implementing creative solutions and delivering highly complex projects in the distributed systems space

• BS in Computer Science; Masters or PhD Preferred

Building a new enterprise cloud platform is complex, and our engineering team surmounts the obstacles. As a member of our team, you will:

• Build an industry-leading data management system that customers love

• Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more!

• Learn about and contribute to:

  • Super-robust and secure enterprise SaaS platform that services thousands of customers and millions of complex queries daily

  • Highly-scalable and reliable data processing platform that runs on hundreds and thousands of machines

  • User interfaces bridging the enterprise world with the consumer experience.

• Join a world-class team of both industry veterans and rising stars

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $187,000 - $276,000.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.