Data Center Material Associate

Amazon is hiring a Data Center Material Associate in Singapore, Singapore. 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 classes it as a junior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

*Trainee Period : 30 Nov 2026 - 30 Nev 2026

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 Infrastructure Operations team is looking for a Logistics Associate to maintain and manage inventory stocks within facilities. If you like to work in a fast-paced business where commitment, attention to detail and operation excellence are keys, we’d like to meet you. Your work will help maintain accuracy, precision of records, organization and safety of all work spaces in the warehouse environment.

You will spend 12 months on the trainee program and by the end of it, your progression will be evaluated to see if you have what it takes to join our successful team and be a full time Amazonian.

Key job responsibilities
• Handle the day-to-day logistics activities to support data center operation
• Participate in warehousing inventory duties such as stock take, stock count etc
• Perform receiving, RMA processing, cycle count and stock transfer.
• Schedule incoming shipment and access clearance at colo sites
• Participate in improvement initiative

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.

#auta-sg #auta-asean

Basic qualifications

- Ability to work in logistics operations (e.g. shipping, receiving, inventory management, storage room operations)
- Ability to work on-call rotation as required and meet the physical and environmental demands of the role
- Candidates must be able to legally work in Singapore.

Preferred qualifications

- Diploma or graduate certificate in Supply Chain, Logistics or relevant discipline.
- Experience in maintaining inventory levels including receiving, storage, and auditing
- Familiar with using a computerized inventory system.

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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How we rate this

Data Center Material Associate 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.

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.