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.
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.
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.
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.
