Senior Cloud Engineer (Cloud & AI Infrastructure) || Plano TXOnsite Only

Location: Plano TX/Onsite Only

Job Description:

We are seeking a Senior DevOps Engineer to lead the technical implementation of our Azure Enterprise Landing Zones and AI-ready infrastructure. You will bridge the gap between core cloud architecture and MLOps ensuring that our AI/ML workloads-from Azure OpenAI to custom models-are deployed onto a secure high-performance and fully automated foundation.

## Key Responsibilities

1. Azure Architecture & Landing Zones

Landing Zone Implementation: Deploy and manage scalable Azure Landing Zones ensuring enterprise-grade governance subscription organization and resource hierarchy.

Networking & Security: Architect secure Azure Networking (VNet Peerings Private Links Hub-and-Spoke) and implement robust security guardrails via Azure Policy and Azure Active Directory (Entra ID).

2. Containerization & Orchestration

AKS & Kubernetes: Act as the subject matter expert for Azure Kubernetes Service (AKS) managing cluster lifecycles namespaces and pod security policies.

Docker Expert: Build optimize and secure Docker images for microservices and AI model serving.

Helm Mastery: Utilize Helm Charts for consistent version-controlled application deployments.

3. Infrastructure as Code (IaC) & Automation

Terraform Mastery: Develop and maintain modular enterprise-scale Terraform code to ensure & quot;Everything as Code for both IaaS (VMs Network) and PaaS (APIM Event Hubs).

CI/CD Governance: Build and optimize sophisticated pipelines using Azure DevOps and GitHub Actions integrating security scanning and automated testing.

4. AI & MLOps Integration

AI Workloads: Provision and scale infrastructure for Azure Machine Learning and OpenAI services specifically managing GPU node pools and model monitoring.

MLOps Pipelines: Implement deployment workflows for AI models focusing on model performance tracking and automated drift detection.

5. Observability & Operations

Monitoring: Lead environmental instrumentation using Azure Monitor Log Analytics and Application Insights.

FinOps: Monitor and optimize cloud spend with custom cost-tracking and alerting for high-compute AI resources.

## Technical Requirements

6 Years in DevOps/Cloud: Deep experience with Azure IaaS and PaaS.

IaC Specialist: Advanced proficiency in Terraform for multi-region deployments.

K8s Expert: Hands-on experience with Docker Kubernetes (AKS) and ingress controllers.

Automation Lead: Expert in Azure DevOps and/or GitHub Actions for CI/CD.

Networking Guru: Strong understanding of Azure VNet Firewall and Load Balancing.

AI Aware: Exposure to deploying and managing AI/ML workloads on Azure.

Thanks & Regards

Pawan Kumar
(IT Recruiter)
E:

K&K Global Talent Solutions Inc.