Network Data Center Engineer

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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 CloudVision (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 CloudVision 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.

Minimum Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 8+ years of experience in data center networking or infrastructure engineering.

Preferred Qualifications

• 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.
• 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.