Job Description

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 job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google 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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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

Learn more about benefits at Google.

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.