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Benefits & Perks
•Professional development budget
•Team events and activities
•Parental leave
•Competitive salary and equity package
•Learning
•Parental Leave
•Equity
Required Skills
React
Node.js
PostgreSQL
Amazon Operations sits at the heart of the Amazon customer experience. We look after everything from the moment a customer clicks buy, to the moment their item is delivered – from desktop to doorstep.
Working in Amazon Operations is for people who like to be active and give their all. We work in a busy, dynamic environment and are part of a bigger team delivering on the expectations of millions of customers every single day.
We are open, inclusive and welcome individuality and diversity. The culture in our Operation is built on the way teams bond and the work ethic that enables our business run like clockwork. Our teams take pride in a job well done, looking out for one another, ensuring the highest safety standards and playing their part in delivering the quality service Amazon is known for around the world.
Join us in the Amazon Reliability Maintenance Engineering team. We maintain and optimize technologies in the Global Amazon Warehouse & Delivery Network.
PURPOSE OF THE JOB:
We are looking for motivated, customer-focused people who want to join our team as a Reliability Maintenance Engineering Technician. The focus of the Reliability Maintenance Engineering Technician role is to ensure safety regulations and policies are adhered to, to ensure preventative maintenance is conducted on time to a high standard and to provide high levels of equipment availability through continuous improvement.
Shift Pattern: This role includes working in non-traditional shift pattern, which may include nights and weekends
RESPONSIBILITIES:
· Put health & safety best practices first in all work carried out ensuring compliance with all health & safety standards and regulations.
· Carry out planned preventative maintenance on the full range of equipment within the site.
· React quickly to breakdowns, communicate clearly with affected parties and work efficiently to fix the issue.
· Support continuous improvement by learning from breakdowns and sending feedback and suggestions for improvements through the line manager.
· Provide high levels of equipment availability to our internal customers.
· Support and learn from Facilities coordinators
· Management of contractors.
Basic Qualifications
- Experience in Electrical/Mechanical/Electronics and Communication/Instrumentation and Controls
- MHE , Base building systems (HVAC,BMS,Backup-Power generation, LV)
Preferred Qualifications
- Experience using CMMS (Computerized Maintenance Management Systems) to plan proactive maintenance and record reactive tasks
- Experience in facilities management
- knowledge of condition monitoring and reliability programs
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
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
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