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Reliability Engineer, Global Reliability Programs

Amazon

Reliability Engineer, Global Reliability Programs

Amazon

Milan, MI, ITA

·

On-site

·

Full-time

·

1mo ago

Required Skills

Project management

Technical leadership

Operations engineering

Reliability Engineer responsible for leading global technical initiatives across Customer Fulfillment, supporting standard processes and procedures, training, and partnering cross-functionally to improve reliability, quality, and operational efficiency at scale.

This role may require up to 70% travel.

  • Key job responsibilities
  • Lead and implement large-scale technical solutions across multiple facilities and regions
  • Support training, quality checks, and and best practice initiatives and policies
  • Drive cross-functional collaboration with vendors and internal teams
  • Manage complex technical projects from conception to implementation
  • Provide technical leadership and expertise across multiple platforms and technologies

A day in the life
As a Reliability Engineer, you drive the Top Offending Asset and Closing Codes program by analyzing network data, identifying key offenders, and partnering with sites and support teams to deliver measurable improvements. Your day includes reviewing WBR metrics, leading RCA efforts, auditing quality and timelines, and supporting CI projects that improve uptime and maintenance effectiveness. You collaborate closely with RME, Ops, SMEs, and OEMs to pilot and scale solutions, support new asset introductions, and influence reliability performance across your assigned business unit and region.

Basic Qualifications

  • Industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience

Preferred Qualifications

    • Experience working with and managing third party vendors
    • Experience with Six Sigma, lean manufacturing
    • Knowledge of AutoCAD, VBA, and SQL at the intermediate level
    • Bachelor's degree

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

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

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