Network Data Center Engineer

Job-:
Information Technology

Location:

Dallas, TX, United States Posted: ECL/GTC

Required:

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We are seeking a Network Data Center Engineer 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.

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 Desing, 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…