Senior Software Engineer - Snowflake Streaming

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

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.

Responsibilities

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

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

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

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

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

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

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

Required Qualifications

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

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Strong proficiency in Java or C++

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

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

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

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Familiarity with cloud infrastructure and multi-tenant service design

Nice to Have

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

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

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

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

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

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

• The estimated base salary range for this role is 160,000-230,000.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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