Manager, Search Capacity, Search Capacity

Amazon • Palo Alto, CA

1d • $188,100 - $254,500 • Onsite

About The Position

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.

Requirements

• Bachelor's degree or above in computer science, engineering, mathematics or equivalent, or Bachelor's degree or equivalent and 2+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
• 3+ years of people management and team development experience
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in technical leadership of large, complex initiatives, and delivering critical solutions, significant improvements, or new mechanisms

Nice To Haves

• Master's degree in computer science, engineering, mathematics or equivalent, or Master's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data science, business analytics, business intelligence, or similar experience in big data environments
• Experience analyzing metrics to drive business improvements

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.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Manager