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Data Center Operations Manager, Data Center Operations

Amazon

Data Center Operations Manager, Data Center Operations

Amazon

Hong Kong, HKG

·

On-site

·

Full-time

·

1w ago

Required Skills

Linux

Project Management

We are looking for a demonstrated operations manager with experience in people management, technical support as well as datacenter operations, which covers the scope of capacity planning, racks delivery, installation, decommission and incident management. . This role is responsible for managing a team of 7/24 operations to provide overall datacenter support in hardware and software of server and network equipment. The successful candidate will also guide the improvement of processes and procedures on a continuous basis, and manage team and staff performance.

Key job responsibilities
· Manage the performance of team(s) of data center operation processionals
· Ensure effective and efficient management of day to day data center operations including queue management, 7/24 shift arrangement and hardware logistics
· Fast learn or act as the subject matter expert across all aspects in data center operations
· Ensure all operational KPIs and metrics are being measured and met
· Inspire and guide improvement in team process, technology innovation and automation
· Manage Large Scale Events (outages) and act as the call leader
· Manage and improve the work-flows and through-put for data centers operations
· Be passionate about the quality and quantity of services being provided, and continuously strive to improve our Customer Experience

Basic Qualifications

  • 5+ years of direct people management experience
  • Experience in project management including resource planning, managing schedules, reporting project status and prioritizing own tasks and those of other team members for multiple projects
  • In-depth knowledge on data center operations, processes and continuous processes improvement. Proven experience of change, problem and incident management
  • Literacy in security and customer data protection. Demonstrated communication skill in presentation, open discussion, team coaching and
  • Fluent English verbal and written proficiency. Financial understanding in annual budgeting, Capex and Opex concepts

Preferred Qualifications

  • Knowledge of data center capacity planning and reporting
  • Experience with data mining and data analysis
  • Knowledge of data center MEP Infrastructure: Power, Cooling & Facilities Management. Experience in data center Safety and Security measures
  • ITIL Foundation, PMP, Lean, Six Sigma and/or Risk related certifications. Data Center related certification
  • CDCP/S/E, CDCMP/TP
  • Linux certification and/or administration experience
  • RHCSA/RHCE, LPIC, Linux+

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

Amazon

Public

Amazon.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

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

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