Clearable Data Center Technician, ADC InfraOps DCO

Amazon is hiring a Clearable Data Center Technician, ADC InfraOps DCO. It pays $33-$58/hr and Level rates it ; you can apply on Amazon.

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Level rates this role Little AI ●○○○: aI is not part of the work.
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AI in this role

Application deadline: Nov 11, 2026

The Infrastructure Operations team is looking for cleared Data Center Technicians to join our expanding Infrastructure Operations team. Data Center Technicians are the primary resolver and troubleshoot and solve a range of datacenter infrastructure issues including, but not limited to: hardware, fiber, networking, and related problems.

If you like to use IT principles like computer architecture and the OSI model (Open Systems Interconnection Model) and apply them to finding solutions to problems, we’d like to meet you. Your work will help to maintain one of the world's largest information system infrastructures.

This position requires that the candidate selected be a US citizen and obtain and maintain an active TS/SCI security clearance with polygraph.

Key job responsibilities
You will be required to engage in physical data center activities with or without reasonable accommodation. This includes all tasks associated with planning and tracking capacity, rack deployment, rack cabling, hardware and software troubleshooting, and rack decommissioning. These activities include the following:
- Lifting and moving material up to 49 pounds each
- Working in cramped and/or elevated locations
- Bending, lifting, stretching, and reaching
- Standing and walking for up to 8+ hours a day
- Ascending and descending ladders, stairs, and gangways safely and without limitation
- Work in a noisy environment
- Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts).

A day in the life
Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge:
- Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution
- Show a strong aptitude for troubleshooting and problem solving
- Solve problems at their root and step back to understand the broader context
- Maintain service level agreements through the implementation of proactive issue detection and reporting
- Are biased to act in the absence of direction or support
- Improve effectiveness through process innovation
- This position will fill an opening at one of multiple separate sites. This position may shift work that will include days/nights/weekends/holidays.

About the team
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.

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.

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.

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 conferences, inspire us to never stop embracing our uniqueness.

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

- High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+

Preferred qualifications

- Bachelor's degree in an IT-related field or equivalent professional or military experience
- Hands-on experience with one or more of the follow hardware platforms (e.g. Dell, HP) is a plus.
- Networking experience with CCNA and/or Network+ certifications is a plus.
- Previous experience working in a Data Center environment (racking & stacking gear, cable management, hot & cold aisle containment).

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, CO, AURORA - 33.36 - 58.41 USD hourly

How we rate this

Clearable Data Center Technician, ADC InfraOps DCO at Amazon rates 33 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.