DCEO Engineer , DCEO

Amazon is hiring a DCEO Engineer , DCEO in Taipei, Taiwan. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.

AI in this role

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.

Key job responsibilities
• Serve as the primary business interface with the Colocation provider’s technical and facility teams to address day-to-day operational requirements within the Availability Zone (AZ);
• Supervise the on-site Colocation providers and respective contractors, to ensure all works performed is complied with established practices, procedures & local legislation;
• Manage Colocation suppliers to conduct routine maintenance, and respond to emergency services for critical systems including switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.;
• Generate change management requests & incident management tickets for Data Center facility;
• Engage in non-office on-call responsibilities and respond promptly to emergency situations or incident, such as power failures or natural disasters, and review to refine the established Emergency Operations Procedures to effectively handle these situations;
• Deeply involve with Colocation provider and contractors to resolve infrastructure engineering issues and conduct root cause analysis for operational issues;
• Establish comprehensive English documentation to business & facility operations in partnership with the Colocation provider;
• Constantly explore and recommend improvements to enhance the data center safety, security and availability;
• Maintain accurate and up-to-date Data Center infrastructure inventory through related matrices and internal dashboards
• Take charge of the installation of the racks and conduct the rack space, power/cooling assessment;
• Lead new build and expansion projects to improve the operations efficiency, including the design, implementation, and commissioning phases;
• Assist in internal recruitment including conducting interviews and assisting with onboarding.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & 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.
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 in the cloud.

Basic qualifications

- 3+ years of vendor management experience
- 3+ years of relevant work in a data center or other critical environment experience
- 3+ 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.

How we rate this

DCEO Engineer , DCEO at Amazon rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.