Staff Software Engineer, BigQuery Workload Management
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in Software Development.
- 5 years of experience designing, implementing, and operating production-grade autoscaling or capacity management systems for large-scale distributed services.
- 5 years of experience in Resource Management, Query Execution, or Distributed Scheduling within a data platform, cloud infrastructure, or related field.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience writing and debuging high performance multi-threaded code.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
About the job
Google BigQuery is a fast, serverless, and highly scalable multi-cloud data warehouse offered as part of Google Cloud Platform. It supports a wide range of data analytics use cases including reporting, business intelligence, data pipelines, and data marts and is used across many enterprise sectors including retail, finance, technology, and gaming. Our team-Workload management builds the interfaces and policies that allows users to configure their workloads. We also own the underlying systems like autoscalers, capacity placers and schedulers that implement those policies at runtime for each query and workload.As a Staff Software Engineer on the BigQuery Workload Management team, you will be at the forefront of cloud computing, shaping the future of one of Google's most successful products. This is a high-impact role where you will see your work directly influence the success of our customers and the evolution of a key Google Cloud product.
Responsibilities
- Design and implement autoscaling policies that masterfully balance cost and performance.
- Develop and refine sophisticated scheduling algorithms that distribute resources with millisecond-level precision across a global infrastructure.
- Create innovative solutions for managing idle capacity, ensuring that our customers extract maximum value from their investment in BigQuery.
- Work directly with customers to understand their needs, solve their most complex performance challenges, and build the features that will define the future of data analytics.
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