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# Senior Software Engineer, Compute Service

- **Company:** Snowflake Inc.
- **Location:** Menlo Park, CA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Cloud Computing, Data Structures, Distributed Systems, Memory Management, Fault Tolerance, Software Engineering, System Programming, Multithreading, Google Cloud, System Availability, Snowflake, Concurrency, Information Technology
- **Published:** October 27, 2026
- **Apply:** https://diversityjobs.com/career/18757794/Senior-Software-Engineer-Compute-Service-California-Menlo-Park

## About the Role

* Substantial industry experience designing, building, and supporting large-scale systems in production.
 * Experience building large-scale, distributed, fault-tolerant services and control planes, including compute placement, queueing, and monitoring.
 * A strong understanding of operating-system concepts, including multi-threading, memory management, networking, storage, performance, and scale.
 * Strong computer-science fundamentals, including data structures, algorithms, and distributed systems.
 * Systems programming skills, including multi-threading and concurrency. Fluency in Java is preferred.
 * A track record of identifying problems and implementing creative solutions.
 * Experience with cloud infrastructure on AWS, Azure, or Google Cloud.
 * A BS in Computer Science, or equivalent practical experience. An advanced degree is a plus.

## Description

We are actively hiring talented distributed systems developers. This role is an opportunity to shape the architecture and operation of core services that the rest of Snowflake runs on.
As a Senior Distributed Systems Engineer at Snowflake you will:

 * Solve real business needs at large scale by applying software engineering and analytical problem solving.
 * Design and implement scalable distributed systems for scheduling, queueing, dispatch, and completion of warehouse-backed work.
 * Analyze fault tolerance, high availability, performance, and scale challenges, and solve them.
 * Build admission control, isolation, and capacity management so shared compute stays fair and predictable.
 * Lead cross-functional initiatives, and collaborate with engineers, product managers, and technical program managers across teams.
 * Judge trade-offs among consistency, durability, latency, and cost, and build systems that meet the demands of rapidly growing services.
 * Ensure operational readiness of the services, and meet commitments to customers on availability and performance.