Senior Distributed Systems Engineer – Scheduling at Scale, Equity

Snowflake; Bellevue (WA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(K) Retirement Plan

Flexible Spending Account

Health Savings Account

Paid Holidays

Paid Time Off

Parental Leave

Employee Assistance Program

Bonus

Equity

Job summary

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.

Qualifications

• Design and support large-scale fault-tolerant distributed services.
• Experience with cloud infrastructure on AWS, Azure, or Google Cloud is expected.
• Java fluency preferred; BS in CS or equivalent required.

Responsibilities

• Design, build, and operate scalable distributed systems and control planes.
• Improve reliability, performance, and capacity management.
• Lead cross-functional initiatives and ensure operational readiness.

Skills

Distributed Systems

Software Engineering

System Design

Scheduling

Queueing

Dispatch

Fault Tolerance

High Availability

Performance Optimization

Capacity Management

Operating Systems

Multithreading

Concurrency

Java

Cloud Infrastructure

CS Fundamentals

Education

Bachelor's degree in CS or equivalent

Advanced degree a plus

Job description

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.