Build and operate Snowflake's core Streaming Platform (Snowpipe Streaming and Datastream) for real-time, high-scale data ingestion powering enterprise AI. Requires 5+ years building large-scale distributed systems with strong Java or C++ skills.
200k – 288k
Hybrid5+ YOEBackend Engineering
About the role
Responsibilities
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
Required Qualifications
3–5 years of software engineering experience on large-scale distributed systems or cloud services
Strong proficiency in Java or C++
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
Nice to Have
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.)
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