Change the world. Love your job. 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.