Manager, Search Capacity, Search Capacity
Amazon.com
The Amazon Search team creates customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search service go to work. We design, develop, and deploy high performance, fault-tolerant, distributed search systems used by millions of Amazon customers every day.
Key job responsibilities
As the manager of the Search Capacity team, you will lead a team of talented business intelligence engineers, data scientists, and technical program mangers with the following responsibilities.
* Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and computational capacity planning.
* Identify and track key performance metrics around efficiency and costs.
* Manage planning, ordering, and budgeting for hardware and other computational resources.
* Develop and improve tools for automating the foregoing responsibilities wherever possible.
* Analyze resource utilization and performance test data to identify variables impacting performance and scalability. Develop models for required hardware resources to meet current and future SLAs.
Key job responsibilities
As the manager of the Search Capacity team, you will lead a team of talented business intelligence engineers, data scientists, and technical program mangers with the following responsibilities.
* Scale the Amazon Search service by working closely with service owners in engineering and operations to understand the service in depth and drive optimal scaling and computational capacity planning.
* Identify and track key performance metrics around efficiency and costs.
* Manage planning, ordering, and budgeting for hardware and other computational resources.
* Develop and improve tools for automating the foregoing responsibilities wherever possible.
* Analyze resource utilization and performance test data to identify variables impacting performance and scalability. Develop models for required hardware resources to meet current and future SLAs.
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