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Operational Excellence Process Engineer, SIN - Cluster/Shared

Amazon

Operational Excellence Process Engineer, SIN - Cluster/Shared

Amazon

Singapore, SGP

·

On-site

·

Full-time

·

1w ago

Amazon Web Services (AWS) offers an exciting, dynamic and challenging environment encouraging creativity and personal development while maintaining AWS computing environments in a secure, scalable, and cost-effective manner.
To keep up with demand on both disk and network capacity, we continue to expand our Data Centers in every region.

This role is a unique opportunity to work in some of the most cutting edge data centers in the world. Amazon data centers are large-scale high-density centers where you will be working on changing the face of Cloud technology in the region.

Key job responsibilities
A n OE Process Engineer (Software Development) may be the primary point of contact for both internal customers (for example: Network Engineers, Systems Engineers, Software Developers, Database Engineers, Technical Operations) and external customers (Hardware Vendors, Contractors, Service Providers among others).

You will be working with various stakeholders to identify waste and working with teams to reduce/eliminate these wastes through standardization, innovation and simplification. Developing software applications would be one of the key tools used to advance operational excellence within the teams.

A day in the life

  • You will be given the opportunity to work in all facets of the operations, giving you a comprehensive understanding of the business climate
  • You will get the opportunity to work closely with a great team
  • You will understand what it takes to grow and operate a global business at our scale.
  • You will handle the complete software development lifecycle; defining, prioritising, designing, building, and testing new features

Basic Qualifications

  • 4+ years of software development experience
  • Understanding of Lean/Six Sigma principles & Operational Excellence
  • Experienced in Python, JavaScript, CICD and CDK
  • Suggest & develop tools to reduce efforts and improve operational efficiencies using lean tools and software development skills

Preferred Qualifications

  • Bachelor's degree in Computer Science or a related field
  • Experience building complex software systems that have been successfully delivered to customers
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations
  • Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy.

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