Network Data Center Architect

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.

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.
• 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.
• Enable network architectures that support private cloud platforms and cloud-like self-service consumption.
• 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.
• Drive automation-first networking, minimizing manual configuration and operational risk.
• 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.
• 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.

Qualifications

• 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.

About Us

We are a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere.