Azure Cloud Infrastructure Specialist

Job Title: Azure Cloud Infrastructure Specialist

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Role Summary

Azure Infrastructure Specialist

AI Landing Zones

Key Responsibilities

• Design and implement

  Azure Landing Zones

  for multiple environments (Dev, Test, Prod) with security, scalability, and cost-optimization in mind.
• Architect and manage

  hybrid infrastructure

  combining

  on-prem

  ,

  Azure Cloud

  , and

  Edge

  workloads.
• Configure and manage

  Azure API Management

  ,

  Private Endpoints

  ,

  Application Gateways

  , and

  Traffic Managers

  .
• Lead

  security assessments

  , implement

  NSGs

  ,

  ASGs

  ,

  firewall rules

  , and

  Zero Trust architectures

  .
• Integrate and manage

  Microsoft Defender for Cloud

  ,

  Azure Sentinel

  , and

  Copilot for Security

  for real-time insights and threat response.
• Architect and manage

  AI Landing Zones

  with GPU-backed VMs, Kubernetes clusters, token management, and scaling policies for LLM workloads.
• Build and automate infrastructure using

  Terraform

  , ARM templates, and GitOps workflows.
• Configure and maintain

  Kubernetes (AKS)

  clusters with

  auto-scaling

  ,

  node pools

  ,

  managed identities

  , and

  private clusters

  .
• Perform

  sizing and auto-scaling

  for compute, storage, and network resources based on application workloads, AI inference latency, and usage patterns.
• Implement

  identity and access management

  ,

  RBAC

  , and

  token-based authentication mechanisms

  for secure workloads.
• Provide performance tuning, monitoring, logging, and alerting using Azure Monitor, Log Analytics, and Grafana.
• Ensure

  governance and compliance

  with best practices, including

  cost control

  ,

  resource tagging

  , and

  role-based access

  .
• Collaborate with development, DevOps, and security teams to maintain a seamless CI/CD and release management environment.

Required Skills & Experience

• 5+ years of experience in

  Azure cloud infrastructure architecture and operations

  .
• Deep experience with

  Azure Landing Zones

  ,

  Hub & Spoke architecture

  ,

  Virtual WAN

  , and

  VNET Peering

  .
• Hands-on with

  Kubernetes (AKS)

  ,

  Container Apps

  , and microservices networking.
• Advanced understanding of

  Azure security stack

  :

  Defender for Cloud

  ,

  Sentinel

  ,

  NSG

  ,

  ASG

  ,

  Key Vault

  , and

  token lifecycle management

  .
• Strong experience in

  Infrastructure as Code (IaC)

  using

  Terraform

  , ARM, or Bicep.
• Knowledge of

  Azure API Management

  ,

  Private DNS Zones

  , and

  Hybrid Connectors

  (VPN, ExpressRoute).
• Familiar with

  performance optimization

  ,

  AI/ML workloads

  , and

  token usage management for LLMs

  .
• Excellent grasp of

  CI/CD practices

  ,

  GitOps

  , and pipeline integration with infrastructure automation.
• Experience in

  auto-scaling strategies

  ,

  load balancing

  , and

  disaster recovery planning

  .
• Familiar with

  Copilot for Security

  or similar tools for AI-assisted SecOps is a plus.

Preferred Qualifications

• Azure certifications such as

  AZ-305 (Solutions Architect)

  ,

  AZ-500 (Security Engineer)

  ,

  AZ-104

  , or

  Terraform Associate

  .
• Experience working with

  regulated industries

  (e.g., Justice, Health, Banking, Government).
• Familiarity with

  sovereign cloud

  ,

  data residency policies

  , and

  GCC-High

  or

  CAIT/CITRA

  requirements.
• Exposure to

  AI application infrastructure

  , including

  GPU-based VM series

  ,

  Inference clusters

  ,

  LangChain backend deployments

  , etc.
• Ability to write

  infrastructure blueprints

  ,

  runbooks

  , and

  architecture design documents

  .

What You’ll Gain

• Opportunity to build

  modern, secure, and scalable cloud platforms

  for AI-first government and enterprise workloads.
• Work on

  cutting-edge deployments

  like

  Agentic AI

  ,

  Voice bots

  ,

  LLM Copilots

  , and

  SaaS platforms

  .
• Collaborate with elite product, AI, and cloud teams across

  Kuwait, UAE, USA, and India

  .
• Exposure to

  PPP projects

  ,

  SaaS marketplaces

  , and

  multi-cloud strategies

  .