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Snowflake is seeking an engineer to design, build, and operate scalable distributed systems for scheduling, queueing, dispatch, and warehouse-backed workloads. You will improve reliability, performance, and capacity management while leading cross-functional initiatives and ensuring operational readiness.
Candidates should have substantial experience with large-scale distributed services, strong systems programming fundamentals, and cloud exposure across AWS, Azure, or Google Cloud.
Design, build, and operate scalable distributed systems for scheduling, queueing, dispatching, and completing warehouse-backed workloads. Improve reliability, performance, fairness, and capacity management while leading cross-functional initiatives and ensuring operational readiness.
Candidates should have substantial experience designing and supporting large-scale, fault-tolerant distributed services and control planes, along with strong systems programming, operating-system, and computer-science fundamentals. Experience with cloud infrastructure on AWS, Azure, or Google Cloud is expected; Java fluency is preferred, and a bachelor's degree in computer science or equivalent practical experience is required, with an advanced degree considered a plus.
Distributed Systems, Software Engineering, System Design, Scheduling, Queueing, Dispatch, Fault Tolerance, High Availability, Performance Optimization, Capacity Management, Operating Systems, Multithreading, Concurrency, Java, Cloud Infrastructure, Computer Science Fundamentals