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Facilities Coordinator, Reliability Maintenance Engineering

Amazon

Facilities Coordinator, Reliability Maintenance Engineering

Amazon

Riyadh, 01, SAU

·

On-site

·

Full-time

·

3w ago

The Facilities Coordinator will have a significant impact on customer experience. The Facilities Coordinator will have the ability to lead and manage outside contractors, be on call for emergencies, to handle multiple projects and daily activities, and meet time lines. The Facilities Coordinator will develop plans on how to accomplish engineering departmental goals.

The Facilities Coordinator will be responsible for the leadership/development and coaching of the team. Performance Management will be carried out by the Facilities Coordinator – Maintenance. This role also leads the technical team in providing both a reactive and pro-active maintenance service on all operational equipment and facilities infrastructure within the Delivery Stations (DS). The role has a direct impact on the site, its productivity and operational success. If equipment is not available or performs badly it minimizes the capacity and throughput of the site.

Key job responsibilities
To provide supervision and leadership to Facility Supervisors
To develop Preventive and predictive maintenance of DSs assets including material handling and automation systems
To be experienced in installing, maintaining, and troubleshooting any of all site's assets.
To act as an ambassador for safety within the team and to promote safe working across the site
Manage day to day engineering and soft services including housekeeping and upkeep of premises
To Manage EHS and statuary compliances of DSs including waste management and hazardous waste management as per bylaws, timely renewal of licenses
To develop and maintain a good working relationship across all levels in the organization
Ability to provide enriched feedback to enhance individual performance
Ability to prioritize and manage resources under high pressure

Basic Qualifications

  • 1+ years of using a computer maintenance management system in planning, scheduling and auditing overall facilities/maintenance activities experience
  • 1+ years of Microsoft Office products and applications experience
  • 1+ years of working with computers and Microsoft Office products and applications experience
  • High school or equivalent diploma
  • Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
  • Travel up to 15% of the time

Preferred Qualifications

  • 6+ years of maintenance planner/scheduler working within an industrial maintenance complex, manufacturing/distribution industries, or equivalent experience
  • Experience in material handling systems (MHS) installation, operation and maintenance

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