Overview
Remote
On Site
USD 168,000.00 per year
Full Time
Skills
Management
Regulatory Compliance
Network Administration
Workflow
Network
Mentorship
Network Security
Routing
Terraform
Ansible
Continuous Integration
Continuous Delivery
Python
Bash
API
Lifecycle Management
Stacks Blockchain
Grafana
Network Engineering
Kubernetes
Provisioning
Computer Networking
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Virtual Private Cloud
Documentation
UPS
Internet
Deep Learning
Cloud Computing
Recruiting
Promotions
SAP BASIS
Law
Job Details
We are seeking a highly skilled Senior Network Automation Architect to design, implement, and oversee end-to-end automation frameworks for provisioning Baremetal and Kubernetes clusters across hybrid and multi-cloud environments. This role blends deep networking expertise with infrastructure-as-code principles, enabling rapid, reliable, and secure deployment of Kubernetes clusters at scale.
The successful candidate will work 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 all automation systems.
What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
NVIDIA's deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world's largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 24, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
The successful candidate will work 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 all automation systems.
What you'll be doing:
- 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.
What we need to see:
- 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.
Ways to stand out from the crowd:
- Proven track record of crafting and delivering automated provisioning solutions at scale.
- Experience with multi-cloud networking (AWS VPC, Azure VNet, Google Cloud Platform VPC)m
- Excellent architecture documentation and interpersonal skills. Ability to lead cross-functional technical initiatives.
NVIDIA's deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world's largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 24, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.