Network Deployment Lead — Data Center Cabling & Automation

Amazon Web Services (AWS); Dallas (TX); On-site; USD 88,570,000 - 155,247,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Data Services, Inc. in Dallas, TX is seeking a Network Deployment Project Lead to own end-to-end medium to large-scale data center cabling deployments, including migrations, new sites, and regional expansions.

You will work with automation tools and collaborate across AWS teams to ensure reliable and scalable network infrastructure. The ideal candidate is autonomous, detail-oriented, and communicates clearly.

Qualifications

• 1+ years of computer networking experience.
• Bachelor's degree in Information Technology, Computer Science, or a related field.
• Experience in computer networking and Linux operating systems.
• Can lift and rack equipment up to 40 pounds.
• Experience with computer hardware troubleshooting and repair.

Responsibilities

• End-to-end ownership of medium to large-scale data center cabling deployments.
• Engage external contractors and plan device and cabling requirements.
• Schedule resources, manage timelines, and provide status reporting.
• Install, rack and stack networking devices; patch fiber; configure devices with automation.
• Validate, troubleshoot, and stress test prior to capacity delivery.
• Travel up to 50% including local and international AMER assignments.

Skills

Networking experience

Linux proficiency

Hardware troubleshooting

Physical ability

Communication skills

Education

Bachelor's degree in Information Technology, Computer Science, or a related field

Tools

Ticketing system

Job description

Amazon Data Services, Inc. in Dallas, TX is seeking a Network Deployment Project Lead to own end-to-end medium to large-scale data center cabling deployments, including migrations, new sites, and regional expansions.

You will work with automation tools and collaborate across AWS teams to ensure reliable and scalable network infrastructure. The ideal candidate is autonomous, detail-oriented, and communicates clearly.