Kubernetes Senior Practice Specialist - Azure DevOps

• *Job Summary**
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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**
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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**
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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

• *Must Have Skill**
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Azure DevOps,Kubernetes,Devops

• *Good to Have Skill**
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• *Other Requirements**
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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