Senior Software Engineer - Snowflake Streaming

Our team builds and operates Snowflake's Streaming Platform - the core infrastructure responsible for bringing data into Snowflake continuously and at scale. This includes Snowpipe Streaming and Datastream, services used by large set of enterprise customers to move mission-critical data in real time. Data is the fuel powering the new enterprise AI world, and we are the team responsible for getting it there reliably, continuously, and fast.

- Design, build, and maintain core components of Snowflake's streaming ingestion platform

- Improve service reliability, scalability, and latency under high-throughput production workloads

- Debug and resolve incidents in a distributed, multi-tenant cloud service

- Contribute to the design and evolution of streaming APIs, SDKs, and server-side protocols

- Write comprehensive tests including unit, integration, and chaos/fault-injection scenarios

- Collaborate with partner teams (storage, query, compute) on cross-cutting platform concerns

- Participate in code reviews, on-call rotations, and architecture discussions

- 3-5 years of software engineering experience on large-scale distributed systems or cloud services

- Deep understanding of distributed systems concepts: consistency, fault tolerance, replication, and backpressure

- Experience building or operating high-throughput, low-latency services in production

- Strong debugging skills across the stack - from application logic to network and storage layers

- Familiarity with cloud infrastructure and multi-tenant service design

- Experience building streaming or ingestion systems (Kafka, Kinesis, Flink, or similar)

- Familiarity with database internals - WAL, columnar storage, or transaction processing

- Experience with observability tooling at scale (distributed tracing, metrics pipelines)

- Prior work on a cloud-native SaaS platform (Snowflake, Databricks, Google BigQuery, etc.)