Role at a glance
- Salary
- $188.1K – $254.5K/yr
- Location
- Palo Alto, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 3+ years of people management and team development experience
- Education
- Bachelor's degree or above in computer science, engineering, mathematics or equivalent
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Role Summary
The Search Capacity team supports the scaling, efficiency, and computational capacity planning of Amazon Search, a high-performance, fault-tolerant distributed search service used by Amazon customers worldwide. The manager leads business intelligence engineers, data scientists, and technical program managers in planning resources and improving the service's scalability and performance.
What You'll Do
- Work closely with service owners in engineering and operations to understand the service and drive optimal scaling and computational...
- 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 capacity planning and related responsibilities.
- Analyze resource utilization and performance test data to identify variables impacting performance and scalability, and develop models...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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,...
- 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
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
Basic Qualifications
- 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
Preferred Qualifications
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Palo Alto - 188,100.00 - 254,500.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.