Drimva

Amazon

TIPM, AI Data Center Network Build, MLZ BaND

$127K–$172K

Herndon, VA · Full-time · Posted Sep 28, 2026

Experience
3+ years of technical infrastructure management experience; the posting also specifies 3+ years of technical program management experience in hyperscale infrastructure, network deployment, or data center construction environments. Preferred: 2+ years of computer networking experience, or experience in networking.

About the job

Leads end-to-end network delivery for AWS machine-learning data center builds across the US, coordinating construction, network, optical, and supply-chain work to bring capacity online.

What you'll do

  • Coordinate network deployment, construction sequencing, optical turnup, and production-fabric readiness across concurrent builds.
  • Track milestones, dependencies, and risks; report progress and escalate blockers to leadership.
  • Manage cross-functional program execution and develop scalable, data-driven process improvements or automated solutions.

What they ask for

  • 3+ years of technical infrastructure management experience.
  • Knowledge of infrastructure best practices and emerging technologies, such as networking, data center, hardware, or software.
  • Experience with varying scenarios of infrastructure builds.
  • Experience coordinating construction, facilities, and network engineering, with familiarity in structured cabling and data center network architecture.

Nice to have

  • 2+ years of computer networking experience, or experience in networking.
  • Experience with large-scale infrastructure.

Pay

127,100.00 - 171,900.00 USD annually (base salary)

Tools

DWDM, CLOS topologies, spine-leaf fabric design, ToR switching, 10p10u ML brick rack deployments

AI focus

Delivers data center network capacity for machine-learning workloads and AWS AI services; the role focuses on physical infrastructure rather than developing AI systems.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)