Kubernetes Senior Practice Specialist - Azure DevOps
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Oct 30, 2026.
Job Summary
We are seeking an experienced Senior DevOps Engineer with strong expertise in cloud infrastructure, CI/CD, Kubernetes, automation, monitoring, security, and production operations across Azure, AWS, and on-premises environments.
Experience supporting AI/ML deployments, GPU infrastructure, MLOps, NVIDIA platforms, or GenAI/Vision AI workloads will be an added advantage.
Key Responsibilities
Design and manage hybrid infrastructure across Azure, AWS, and On-Prem environments.
Build secure, scalable platforms using IaC, CI/CD, Kubernetes, containers, Helm, and Service Mesh.
Manage NVIDIA GPU infrastructure and NVIDIA AI Enterprise platforms.
Deploy and manage Vision AI platforms, and GPU/Edge inference workloads.
Automate AI/ML model deployment, serving, monitoring, and lifecycle management.
Skill Requirements
Mandatory Skills.
Cloud: Azure, AWS, Hybrid Cloud
Containers: Docker, Kubernetes, AKS, EKS, Helm, Rancher
DevOps/IaC: Azure DevOps, GitHub Actions, Jenkins, Terraform
Monitoring: Prometheus, Grafana, ELK, Splunk, Azure Monitor
Security & Networking: IAM/RBAC, VPN, SSL/TLS, Firewalls, Load Balancers, Zero Trust
OS & Storage: Linux, Windows Server, SQL/NoSQL, NAS/SAN/NFS
Other Requirements
Good to have/Preferred Skills
NVIDIA/AI: GPU Administration, NVIDIA AI Enterprise, CUDA, TensorRT, DeepStream, Omniverse, Nucleus, Isaac Sim
MLOps: MLflow, Kubeflow, Model Serving, LLM/RAG & Agentic AI Deployment