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Controls Engineer - KUL, AWS Control, Deployment and Service Team

Amazon

Controls Engineer - KUL, AWS Control, Deployment and Service Team

Amazon

Kuala Lumpur, 15, MYS

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Team events and activities

Professional development budget

Parental leave

Flexible Hours

Learning

Parental Leave

Required Skills

PostgreSQL

Python

JavaScript

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Data Center Capacity Delivery Asia-Pacific Controls Deployment and Service (DCCD APAC CDS) team delivers and services the control systems which monitor and ensure the health of our data centers. APAC CDS’ mission is to safely provide our customers with the unmatched reliability, security, and performance that AWS is known for. APAC CDS covers six disciplines of deployments, projects, service, colo, on-call support, and management.
Controls Deployment & Service (CDS) Engineers deliver and support data center building automation systems, such as Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS). CDS Engineers work to deploy and service building automation systems, to ensure the health of our data centers. As a CDS Engineer, you may oversee deployment of a new BMS or EPMS as part of a new data center build, deliver projects to upgrade an existing data center owned or leased by Amazon, or deliver projects to upgrade collocated data centers with Amazon hardware. As a CDS Engineer, you may also be required to provide local servicing expertise to our fleet or data centers in your region, and occasionally assist with global support. Successfully working as a CDS Engineer will also require you to partner effectively with the many teams at Amazon that make our data center deployments and operations a success, including Construction, Commissioning, Critical Projects, Data Center Operations, Procurement, Program Management, Design, and Engineering teams, as well as maintaining strong relationships with our vendors.
As Amazonians, we work in a competitive environment. Our customers are always beautifully, wonderfully dissatisfied. Being successful in our roles is not just about doing our jobs well, but also evolving and innovating. Change is the only constant, and applies to our customers, our roles, our team organization, our tools, and our mechanisms.
To be successful in this team, you will also have:

  • Ability to thrive at the pace and scale of Amazon
  • Ability to work independently and manage multiple competing priorities
  • Ability and willingness to collaborate with peers around the globe, which may involve some participation in meetings at odd hours
  • Ability and willingness to travel domestically or globally as and when needed
  • Key job responsibilities
  • Deployment of data center controls, on time, with effective management of vendors to ensure minimal defects at the point of Power and Facilities Hand-Off (PFHO)
  • Delivery of critical projects to upgrade data center automation
  • Service and support provided to partner teams, providing diagnosis and resolution of Loss of Visibility (LOV), Loss of Resilience (LOR), Large Scale Event (LSE), Critical Scale Event (CSE), and other operations impacting events
  • Resolution of tasks within predefined Service Level Agreements (SLAs)
  • Delivery of further initiatives to improve the efficiency of our data centers or our operations procedures
    About the team

About AWS

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Inclusive Team Culture:

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career Growth:

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

  • 3+ years of vendor management experience
  • 4+ years of relevant work in a data center or other critical environment experience
  • 5+ years of data center engineering or operations experience
  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field

Preferred Qualifications

  • 3+ years of construction or project management experience
  • Electrical or mechanical Journeyman License
  • operating engineering license such as DC II, DC III, or equivalent
  • Experience in construction or project management
    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