Experience with stream processing engine internals (e.g., state backends, checkpointing, runtime, or operator development) in systems like Apache Flink, Spark Structured Streaming, or similar
Experience with SQL engine internals: query optimization, execution plan design, storage formats, or transaction layers
Published research or thesis work in streaming, real-time query processing, or distributed computation
Contributions to open-source data infrastructure or database systems
Familiarity with Spec Driven Development (SDD) and Test Driven Development (TDD)
Familiarity with formal verification
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?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
5+ years of software engineering experience in distributed systems, query engines, streaming infrastructure, or database internals (or equivalent, including research)
BS/MS/PhD in Computer Science or related field - graduate research in streaming systems, query processing, or database engines is a strong differentiator
Deep expertise in distributed systems: consistency, fault tolerance, replication, state management
Hands-on experience with stream processing systems - building, operating, or extending them (industry or academic)
Proficiency across multiple languages such asJava, Scala, C++, and Python, with a track record of production systems at scale
Proficiency with AI-native software engineering and agentic development workflows
Ability to lead complex technical projects independently with minimal direction