info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 8 years of software development experience in C , Go, or Java, building high-concurrency or multi-threaded systems.
Preferred qualifications:- Software development experience in one or more general purpose programming languages e.g., C .
- Experince with distributed computing.
- Experience working on large scale systems in the cloud.
- Ability to write and debug high performance multi-threaded code.
- Familiarity with networking concepts.
- Capacity Management for cloud services.
About the jobGoogle BigQuery is a fast, serverless, highly scalable multi-cloud data warehouse powering enterprise analytics, BI, and data pipelines across retail, finance, gaming, and tech.
Workload Management designs the interfaces, policies, and distributed runtime systems that govern query execution:
- Reservation policies: Query prioritization, routing configurations, and dynamic autoscaling.
- Scheduling: Millisecond-level resource distribution across millions of tasks per cell.
- Capacity management: Fleet-wide capacity placement and dynamic cross-cell tenant rebalancing.
- Explainability: Observability tools helping customers understand policy impacts on workloads.
In this role, you will bring deep technical foundations and strategic perspective across customers, competitors, and cloud technology. You will architect end-to-end solutions that span multiple distributed infrastructure components. You will also partner closely with product teams and enterprise customers to define the future of BigQuery workload execution.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) 25% bonus target equity benefits
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.
