Senior Staff Software Engineer, Cloud Scheduling & Scale

Google LLC; Kirkland (WA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health, dental, vision, life, and(dis)

401(k) with company match

Paid Time Off: 20 days per year

Sick Time: 40 hours/year (increased to

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days per year

Job summary

Google LLC in the United States (Kirkland area) is seeking a software engineer for BigQuery workload execution. You will own architectural goals and roadmap for fleet-wide compute resource management, design regional placement systems, and modernize scheduling across large-scale cloud infrastructure.

You will work with product teams and enterprise customers, develop opportunistic scheduling, build observability tools, and help ensure high performance, reliability, and scalability of multi-tenant

Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent practical experience.
• 8 years of software development experience in C++, Go, or Java, building high-concurrency or multi-threaded systems.

Responsibilities

• Own the architectural goals and technical roadmap for BigQuery fleet-wide compute resource management across four pillars.
• Design regional placement systems integrating compute, storage, streaming, and flex-pools; build dynamic traffic rebalancing based on live slot utilization.
• Modernize scheduling and shuffle components for fluid capacity, partnering cross-functionally to align infrastructure improvements.
• Architect opportunistic scheduling algorithms for peak-demand capacity, optimize fleet-wide resource utilization, and establish automated, cell-wide disaster recovery failover strategies.
• Build scheduler diagnostic tools and expose resource metrics via Information_schema and admin dashboards for customer performance observability.

Skills

C++

Go

Java

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Job description

Google LLC in the United States (Kirkland area) is seeking a software engineer for BigQuery workload execution. You will own architectural goals and roadmap for fleet-wide compute resource management, design regional placement systems, and modernize scheduling across large-scale cloud infrastructure.

You will work with product teams and enterprise customers, develop opportunistic scheduling, build observability tools, and help ensure high performance, reliability, and scalability of multi-tenant