PostJobFreePosted Jun 1, 2026First seen May 17, 2026
Network Data Center Architect
Dallas, TX 75243 (5 Days Onsite Role)
Full-Time Permanent Role
About the Role
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.
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
o Architect and standardize modern data center network designs optimized for scale, resiliency, and performance.
o Design Layer 2 and Layer 3 architectures leveraging EVPN/VXLAN for multi tenant, cloud ready environments.
o Lead architecture decisions in a multi vendor network ecosystem, with strong emphasis on Arista Networks platforms.
o Develop reference architectures, design patterns, and technical standards aligned with Arista Validated Designs (AVD) and enterprise best practices.
• Arista Platforms & Multi Vendor Networking
o Serve as a technical authority for Arista EOS based data center fabrics, while integrating with other vendors as required.
o Design and operate network fabrics using Arista CloudVision (CVP) for centralized management, telemetry, and lifecycle operations.
o Leverage AVD to drive consistent, repeatable, and automated fabric deployments.
o 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
o Design network fabrics capable of supporting AI/ML training and inference workloads, including large scale GPU clusters.
o Optimize east west traffic, bandwidth, and latency for GPU fabrics and distributed compute platforms.
o Support architectures requiring high throughput, deterministic performance, and scalable growth.
o Collaborate with compute and platform teams to align network design with AI and GPU workload requirements.
• Private Cloud & Hybrid Enablement
o Enable network architectures that support private cloud platforms and cloud like self service consumption.
o Integrate networking into virtualization, container, and platform environments.
o Support secure and scalable hybrid connectivity between private data centers and public cloud environments.
o Ensure designs align with segmentation, Zero Trust networking, and security best practices.
• Automation & Infrastructure as Code
o Drive automation first networking, minimizing manual configuration and operational risk.
o Design and implement Infrastructure as Code (IaC) solutions using Python, Terraform, Ansible, AVD, or similar frameworks.
o Build reusable automation modules, pipelines, and workflows for network provisioning and lifecycle management.
o Promote declarative, version controlled network operations across teams.
• Observability & AI Driven Operations
o Define and implement advanced network observability strategies, including streaming telemetry, flow data, logs, and metrics.
o Utilize Arista CloudVision telemetry and AI/ML driven analytics platforms to detect anomalies, predict failures, and optimize performance.
o Integrate network observability into broader SRE and platform monitoring ecosystems.
o Use data driven insights to improve reliability, capacity planning, and incident response.
• Engineering Excellence & Collaboration
o Act as a technical authority and architectural advisor for data center networking initiatives.
o Review designs, influence standards, and mentor engineers (without direct people management).
o Partner closely with cloud, SRE, security, and application teams.
o 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 expertise in EVPN/VXLAN based architectures and large scale routed fabrics.
• Strong hands on experience with Arista EOS, CloudVision (CVP, CVaaS), and AVD.
• Experience designing networks for private cloud, AI, GPU, or high performance computing environments.
• Proven experience with automation and Infrastructure as Code (Python, Terraform, Ansible, AVD, or equivalent).
• Strong understanding of BGP, routing at scale, network segmentation, and resiliency patterns.
Preferred Qualifications
• Experience designing or operating GPU fabrics or AI platforms at scale.
• Familiarity with lossless networking, RDMA, or high bandwidth fabrics.
• Experience supporting Kubernetes, OpenShift, or cloud native platforms.
• Hands on experience with network telemetry and AI driven observability tools.
• Experience integrating Arista platforms within multi vendor data center environments.
• Strong documentation and architecture review skills.