Build the future of the AI Data Cloud. Join the Snowflake team.
A massive new market opportunity is being created at the intersection of Cloud and Data, and the Snowflake Data Cloud is leading the way, all powered by the database engine we are building from the ground up.
We’re hiring talented Senior Software Engineers to help build that new database technology. Our team builds the core query optimization, distributed query and data processing engine, and massively scalable metadata storage engine, which are at the heart of the Snowflake Data Cloud. Our innovations in these areas enable our customers to use Snowflake for any database workloads with predictable performance and high efficiency. Our ambitions are huge and this role is a unique opportunity to help us achieve them, by making a significant impact on our elastic, large scale, high-performance computing environment.
Snowflake is growing fast and we’re scaling our team to help enable and accelerate our growth. We’re passionate about our people, our customers, our values and our culture! We’re also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future. And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging.
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
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
Snowflake is globally-distributed enterprise, with a team of more than 6,780 employees working in over 40 offices around the world. Hundreds of the world’s largest, use our AI Data Cloud to share data, build applications, and power their businesses.
169 jobsSubscribe to Rise newsletter