Ultimate Cloud Career: Amazon Careers | DC Asset Tech Coordinator ($160K)

For professionals tracking large-scale tech infrastructure and cloud operations openings through amazon careers, Amazon Data Services, Inc. has posted a specialized opportunity for a DC Asset Doc Tech Coordinator, Field Engineering within AWS Infrastructure Services.

This role sits at the intersection of data center engineering, documentation management, and product lifecycle control, supporting critical cloud infrastructure across multiple US hubs including Seattle, WA, Herndon, VA, Austin, TX, and Umatilla, OR.

About AWS Infrastructure Services: Keeping the Cloud Running

Before putting together your application, it helps to understand the massive scale and mission driving the division:

• Global Cloud Scale: AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure, managing servers, storage, networking, power, and cooling equipment that keep the global cloud operational.
• The Field Engineering Team: The Data Center Field Engineering (FE) Team acts as the engineering owner for the entire lifecycle of AWS data centers, focusing on root cause analysis, capacity improvements, fleet optimization, and high reliability.
• Culture & Innovation: Amazon thrives on a culture of inclusion, continuous learning, and process automation—frequently integrating modern solutions like AI to increase process efficiency and speed.

Quick Job Overview

Job Metric	Details
Company	Amazon Data Services, Inc. (AWS Infrastructure Services)
Job ID	10584706
Role Title	DC Asset Doc Tech Coordinator, Field Engineering
Field of Work	Data Center Field Engineering & Asset Documentation
Employment Type	Full-Time
Target Locations	Seattle, WA | Herndon, VA | Austin, TX | Umatilla, OR
Pay Range	$95,300 – $160,000 annually (base salary; total package includes sign-on payments and RSUs)

 

What Does an AWS Asset & Documentation Tech Coordinator Do?

Operating as a gatekeeper for mission-critical data, you will manage asset and spare parts data integrity through Manufacturer Bill of Materials (MBOMs) in Product Lifecycle Management (PLM) systems.

Core responsibilities include:

• MBOM & PLM Lifecycle Ownership: Owning the complete deployment process of MBOMs in PLM systems, reviewing engineering and asset documents to extract parts lists, and maintaining meticulous digital accuracy.
• Data Accuracy & Audits: Proactively performing routine data scrubs, identifying and correcting anomalies, and ensuring asset records match physical data center inventories.
• Process Enhancement & AI Integration: Continuously looking for ways to automate workflows and collaborating with developers/TPMs to incorporate AI solutions to improve process speed and accuracy.
• Cross-Functional Collaboration: Partnering closely with Field Engineers, data center operations teams, and external stakeholders to drive clarity, solve documentation gaps, and align data metrics.

Insider Guide: How to Ace the Amazon Data Center Interview Loop

💡Securing an operations or technical coordination role at AWS requires demonstrating meticulous attention to detail, a bias for action, and adherence to Amazon’s Leadership Principles (such as “Dive Deep” and “Invent and Simplify”). Keep these strategies in mind:

• Highlight Your Mastery of Data Accuracy and PLM Systems

Because this role acts as a gatekeeper for mission-critical data, interviewers will look for absolute precision. Be ready to discuss your hands-on experience working with Product Lifecycle Management (PLM) software, building Bill of Materials (BOMs), and managing large-scale data sets or document repositories.

• Demonstrate Process Improvement and Automation Mindsets

Amazon heavily values candidates who don’t just maintain systems, but actively improve them. Prepare examples of how you identified broken workflows, automated routine data checks, or used scripts/tools to streamline technical data extraction.

• Practice Cross-Functional Communication

You will act as a communication bridge between hands-on Field Engineers, operations staff, and software teams. Use the STAR method during behavioral interviews to showcase how you managed conflicting stakeholder priorities and resolved missing information.

Candidate Qualifications & Required Skills

AWS values diverse career backgrounds and encourages applicants to apply even if they don’t check every single preferred box.

Basic Qualifications:

• 1+ years of technical program management experience.
• Strong technical literacy with MS-Office tools including Word, Excel, PowerPoint, and Visio.
• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or a related field.
• Demonstrated experience in data center engineering, operations, or another critical operational environment.

Preferred Qualifications:

• 1+ years of experience building BOMs within a Product Lifecycle Management (PLM) application.

How To Apply