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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.
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.