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Benefits & Perks
•401(k) matching
•Competitive salary and bonus
•Health benefits
•Flexible work
•Healthcare
Required Skills
Tableau
Salesforce
SAP
Are you a strategic technical leader passionate about building world-class data center operations? We're seeking an exceptional Data Center Manager to help shape the future of cloud computing infrastructure, driving innovation and operational excellence across our global network.
- Key job responsibilities
- Lead and develop high-performing technical teams, providing strategic guidance and fostering professional growth
- Optimize data center operations through continuous process improvement and innovative solutions
- Manage complex infrastructure projects, including maintenance of existing facilities and strategic expansion of new data centers
- Cultivate strong relationships with internal teams and external vendors to ensure seamless operational performance
- Drive operational excellence by implementing robust metrics, incident management, and capacity planning strategies
A day in the life
Your day will be dynamic and impactful, where you'll collaborate with cutting-edge engineering teams, solve complex technical challenges, and transform how we design and manage data center ecosystems. You'll navigate strategic planning, team development, and operational optimization, ensuring our infrastructure remains robust, efficient, and scalable.
About the team
We are a collaborative, forward-thinking group dedicated to pushing the boundaries of cloud technology. Our team thrives on solving intricate technical problems, continuously improving processes, and delivering exceptional infrastructure that supports millions of global users. We believe in empowering our team members to innovate, grow, and make meaningful contributions.
Basic Qualifications
- Experience in people management and team development
- Knowledge of data center infrastructure design, operations, or delivery
- Experience in at least one infrastructure tech domain (e.g. networking, storage, server, OS Windows/Linux platforms)
Preferred Qualifications
- Experience in data center engineering or operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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