Azure Cloud Infrastructure Specialist

Job Title: Azure Cloud Infrastructure SpecialistLocation: Remote / HybridExperience Required: 5+ YearsType: Full-timeCompany: Unicorn LabStart Date: ImmediateRole SummaryWe are seeking a highly experienced Azure Infrastructure Specialist to design, build, and manage secure, scalable, and production-grade cloud environments for advanced workloads, including AI systems, Kubernetes-based applications, hybrid infrastructure, and critical enterprise deployments.The ideal candidate should bring deep expertise in Azure Landing Zones, API Management, Security (Microsoft Defender, Copilot Security), Terraform automation, token management, and performance-aware infrastructure sizing. Prior experience in handling AI Landing Zones and secure hybrid deployments is highly desirable.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.