Data Center Materials Associate, Corporate IT Logistics, Operations, IT, & Support Engineering
Amazon is hiring a Data Center Materials Associate, Corporate IT Logistics, Operations, IT, & Support Engineering. It pays $22-$38/hr and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level classes it as a junior role.
- Amazon has 20,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
Amazon's IT Logistics and Imaging Team (ITS-LIT) operates a warehouse-scale production floor that images, provisions, and manages the lifecycle of every corporate laptop and device deployed to Amazonians across the United States. Our team at SEA124 (Ouroboros) in Renton, WA processes thousands of devices weekly — supporting new hire onboarding, device refreshes, inventory management, reverse logistics, and data destruction.
We are seeking a Data Center Materials Associate to join our warehouse operations team. In this role, you will support daily inventory and logistics work — receiving and inducting IT assets, picking, packing, shipping, and processing returns. You'll follow standard procedures, work through assigned tasks as priorities shift during the day, and focus on accuracy and quality in every transaction. You'll also help keep IT areas clean, organized, and audit-ready.
This is a hands-on warehouse environment where your work directly supports Amazon's ability to deliver devices to employees on Day 1.
Our team approaches work as seeing no job as too small and no challenge as too big!
Key job responsibilities
- Support daily inventory operations, including receiving, induct, storage, picking, packing, and shipping of IT assets and peripherals
- Complete assigned tasks across queues and programs, following daily priorities set by the team
- Restock IT inventory locations, vending machines, and supply stores, and report low stock to your lead
- Process returned IT assets following compute reuse, reverse logistics, and disposal procedures
- Prepare IT assets for transportation in line with IT and InfoSec policies, including safe handling and destruction of IT media
- Assist with removal and recovery of IT assets from campus locations as required
- Prepare new hire equipment kits and support campus IT staff during new hire orientation
- Follow standard operating procedures and flag issues or errors to your lead
- Complete assigned work within SLA and record progress in ServiceNow
- Work with teams across the warehouse (IT Support, Returns, Stock Cart, Imaging) to keep orders moving
A day in the life
You arrive at our warehouse in Renton, WA and check the day's work: inbound shipments to receive, outbound orders to pick and pack, and returns to process. Your lead sets the day's priorities, and you move between tasks as they shift. Some days you're building new hire kits for Monday onboarding. Other days you're processing returned assets, restocking vending machines across campus, or helping with a bulk removal from a decommissioned floor. You follow standard procedures, flag issues to your lead, update ServiceNow, and make sure every asset is accounted for. Your accuracy helps make sure every Amazonian has the equipment they need on Day 1.
About the team
We're Amazon's primary imaging center for North America — a warehouse team that prepares and ships every corporate laptop before an employee's first day. We process thousands of devices weekly across multiple imaging lanes and shifts. You'll work alongside engineers, technicians, and operations specialists who build their own tools, write their own procedures, and own their programs end-to-end. Our culture is hands-on, direct, and team-first. We value people who take ownership, communicate clearly, and look for ways to improve how things work. Every day brings something different.
Basic qualifications
- High school or equivalent diploma
- Speak, write, and read fluently in English, and have the ability to take direction in English
- Experience with Microsoft Office products and applications
- Work 40 hours/week, and overtime as required
- Work 10 hour shifts as needed
- Are 18 years of age or older
- Can lift and rack equipment up to 40 pounds
Preferred qualifications
- Can show strong verbal and written communication skills
- Experience maintaining inventory, including receiving, storage, and auditing
- Experience with a ticketing system such as ServiceNow
- Self-motivated and customer-focused
- Able to manage multiple requests at once and prioritize based on team objectives
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, WA, Renton - 21.68 - 37.93 USD hourly
How we rate this
Data Center Materials Associate, Corporate IT Logistics, Operations, IT, & Support Engineering at Amazon rates 38 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.
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.
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