Senior Network Automation Architect - DGX Cloud

August 21

Apply Now

Receive Emails with Similar Jobs

NVIDIA

WebsiteLinkedInAll Job Openings

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Design scalable, secure, and repeatable automation for Kubernetes cluster provisioning and network configuration across multi-cloud, on-prem, and hybrid environments. • Build Infrastructure-as-Code templates, automation pipelines, and CI/CD integrations to streamline provisioning and connectivity. • Automate networking integrations including CNI plugins, service meshes, load balancers, and ingress controllers. • Implement policies, firewalling, routing, and self-service provisioning through API-driven workflows. • Deliver observability with monitoring, logging, alerting, and self-healing workflows to improve resilience and performance. • Act as the technical authority for network automation, mentoring teams and driving cross-functional automation maturity.

🎯 Requirements

• Deep knowledge of Kubernetes networking (CNI, services, ingress, eBPF) and service meshes (Istio, Linkerd, Consul). • Strong background in network security, firewalling, routing, and containerized environments. • Hands-on experience with IaC and automation tools (Terraform, Ansible, Pulumi), GitOps tooling (ArgoCD, Flux), and CI/CD systems. • Proficiency in Python, Go, or Bash, with experience building API-driven integrations (REST, gRPC). • Familiarity with Kubernetes lifecycle management and provisioning tools (CAPI, kubeadm, kops, Rancher, OpenShift, bare metal). • Experience with observability and tracing stacks (Prometheus, Grafana, ELK/EFK, Jaeger, OpenTelemetry). • 8+ years in network engineering and automation development. • 3+ years of experience with Kubernetes platform engineering. • Bachelor's degree or equivalent experience.

🏖️ Benefits

• Equity • Benefits