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Network Director

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Motion Recruitment Partners LLC
Full Time position
Listed on 2026-05-21
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, Network Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Network Data Center Architect

We are seeking a Network Data Center Architect to design, build, and evolve scalable, resilient, and highly automated data center network architectures that enable private cloud and hybrid cloud platforms. This is a senior individual contributor role responsible for defining technical direction, architecture standards, and hands‑on engineering solutions across modern, multi‑vendor data center environments.

About the Role

The ideal candidate is a deep technical expert in large‑scale data center networking, with strong experience supporting AI‑driven workloads, GPU‑based platforms, and cloud‑like infrastructure, and a proven track record in automation and Infrastructure as Code, including leadership in Arista‑based environments.

Key Responsibilities Data Center & Network Architecture
  • Architect and standardize modern data center network designs optimized for scale, resiliency, and performance.
  • Design Layer 2 and Layer 3 architectures leveraging EVPN/VXLAN for multi‑tenant, cloud‑ready environments.
  • Lead architecture decisions in a multi‑vendor network ecosystem, with strong emphasis on Arista Networks platforms.
  • Develop reference architectures, design patterns, and technical standards aligned with Arista Validated Designs (AVD) and enterprise best practices.
Arista Platforms & Multi‑Vendor Networking
  • Serve as a technical authority for Arista EOS‑based data center fabrics, while integrating with other vendors as required.
  • Design and operate network fabrics using Arista Cloud Vision (CVP) for centralized management, telemetry, and lifecycle operations.
  • Leverage AVD to drive consistent, repeatable, and automated fabric deployments.
  • Evaluate and integrate Arista solutions within a broader multi‑vendor strategy to avoid lock‑in while maximizing operational efficiency.
AI, GPU & High‑Performance Workload Enablement
  • Design network fabrics capable of supporting AI/ML training and inference workloads, including large‑scale GPU clusters.
  • Optimize east‑west traffic, bandwidth, and latency for GPU fabrics and distributed compute platforms.
  • Support architectures requiring high throughput, deterministic performance, and scalable growth.
  • Collaborate with compute and platform teams to align network design with AI and GPU workload requirements.
Private Cloud & Hybrid Enablement
  • Enable network architectures that support private cloud platforms and cloud‑like self‑service consumption.
  • Integrate networking into virtualization, container, and platform environments.
  • Support secure and scalable hybrid connectivity between private data centers and public cloud environments.
  • Ensure designs align with segmentation, Zero Trust networking, and security best practices.
Automation & Infrastructure as Code
  • Drive automation‑first networking, minimizing manual configuration and operational risk.
  • Design and implement Infrastructure as Code (IaC) solutions using Python, Terraform, Ansible, AVD, or similar frameworks.
  • Build reusable automation modules, pipelines, and workflows for network provisioning and lifecycle management.
  • Promote declarative, version‑controlled network operations across teams.
Observability & AI‑Driven Operations
  • Define and implement advanced network observability strategies, including streaming telemetry, flow data, logs, and metrics.
  • Utilize Arista Cloud Vision telemetry and AI/ML‑driven analytics platforms to detect anomalies, predict failures, and optimize performance.
  • Integrate network observability into broader SRE and platform monitoring ecosystems.
  • Use data‑driven insights to improve reliability, capacity planning, and incident response.
Engineering Excellence & Collaboration
  • Act as a technical authority and architectural advisor for data center networking initiatives.
  • Review designs, influence standards, and mentor engineers (without direct people management).
  • Partner closely with cloud, SRE, security, and application teams.
  • Participate in complex incident analysis and long‑term architectural remediation.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • 8+ years of experience in data center networking or infrastructure engineering.
  • Deep…
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