Kubernetes Senior Practice Specialist - Azure DevOps

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