Senior Network Automation Architect - DGX Cloud
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Security @ 7 Ansible @ 4 Consul @ 7 Go @ 6 Grafana @ 4 Kubernetes @ 4 Prometheus @ 4 IaC @ 4 Terraform @ 4 Python @ 6 GCP @ 4 CI/CD @ 4 ArgoCD @ 4 AWS @ 4 Azure @ 4 Bash @ 6 gRPC @ 6 Networking @ 4 API @ 4 OpenShift @ 3 Compliance @ 4 OpenTelemetry @ 4Details
We are seeking a highly skilled Senior Network Automation Architect to design, implement, and oversee end-to-end automation frameworks for provisioning bare-metal and Kubernetes clusters across hybrid and multi-cloud environments. This role blends deep networking expertise with infrastructure-as-code principles to enable rapid, reliable, and secure deployment of Kubernetes clusters at scale. The candidate will collaborate closely with SREs, platform engineers, network engineers, and tooling teams to automate cluster lifecycle management, integrate provisioning workflows with CI/CD pipelines, and ensure observability, resilience, and compliance across automation systems.
Responsibilities
- 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, tracing, and self-healing workflows to improve resilience and performance.
- Act as the technical authority for network automation, mentor teams, and drive 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, and routing in containerized environments.
- Hands-on experience with IaC and automation tools: Terraform, Ansible, Pulumi.
- Experience with GitOps tooling and CI/CD integrations such as ArgoCD, Flux and other CI/CD systems.
- Proficiency in scripting and programming: Python, Go, Bash; experience building API-driven integrations (REST, gRPC).
- Familiarity with Kubernetes lifecycle management and provisioning tools (CAPI, kubeadm, kops, Rancher, OpenShift, bare metal provisioning).
- Experience with observability and tracing stacks: Prometheus, Grafana, ELK/EFK, Jaeger, OpenTelemetry.
- 8+ years in network engineering and automation development; 3+ years of Kubernetes platform engineering experience.
- Bachelor's degree or equivalent experience.
Ways to stand out
- Proven track record of crafting and delivering automated provisioning solutions at scale.
- Experience with multi-cloud networking (AWS VPC, Azure VNet, GCP VPC).
- Excellent architecture documentation and interpersonal skills; ability to lead cross-functional technical initiatives.
Compensation & Application
- Base salary ranges by level:
- Level 4: 168,000 USD - 264,500 USD
- Level 5: 200,000 USD - 322,000 USD
- You will also be eligible for equity and benefits (see NVIDIA benefits page).
- Applications for this job will be accepted at least until August 24, 2025.
About NVIDIA
NVIDIA's deep learning platforms are broadly used across academia, start-ups, and industry. NVIDIA seeks passionate, hard-working, and creative people to help deliver deep learning cloud solutions. NVIDIA is an equal opportunity employer and values diversity in its workforce.