Strong hands-on experience designing, implementing, and operating Azure cloud solutions in enterprise environments
Solid understanding of Azure networking, identity, governance, security, monitoring, and platform services
Practical experience with Azure Landing Zone concepts, hub-and-spoke networking, private endpoints, private DNS, firewalls, NSGs, route tables, and workload integration patterns
Strong hands-on experience with Azure Kubernetes Service, containers, container registries, ingress controllers, workload identity, autoscaling, monitoring, and container security
Strong experience with Terraform or other Infrastructure as Code tools, including module development, state management, validation, and multi-environment delivery
Strong experience with CI/CD pipelines, preferably using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar platforms
Good understanding of DevOps and DevSecOps practices, including automated testing, security scanning, artifact management, release automation, and deployment governance
Experience working with GitHub, pull requests, code reviews, branching strategies, and collaborative engineering workflows
Practical experience using GitHub Copilot or similar AI-assisted development tools for infrastructure, automation, scripting, pipeline development, or documentation
Experience with Azure PaaS and integration services such as App Service, Azure Functions, Logic Apps, API Management, Event Grid, Service Bus, Storage, Key Vault, Azure SQL, Cosmos DB, and related services
Experience implementing observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerting, and operational runbooks
Understanding of Azure AI and Generative AI services, especially Azure OpenAI, Azure AI Search, and AI-enabled automation patterns
Practical knowledge of AI architecture patterns such as RAG, agentic workflows, multi-agent systems, tool/function calling, grounding, prompt management, evaluation, and responsible AI
Ability to troubleshoot complex technical issues across cloud infrastructure, networking, containers, CI/CD, security, and application integration
Strong scripting and automation skills using PowerShell, Bash, Python, or similar languages
Ability to work independently, take ownership of technical delivery, and support production-grade cloud environments
Strong communication skills and ability to work with architects, engineers, security teams, product teams, and business stakeholders
Microsoft Azure certifications such as Azure Administrator Associate, Azure Developer Associate, Azure DevOps Engineer Expert, or Azure Solutions Architect Expert
Kubernetes certifications such as CKA, CKAD, or CKS
Experience with production-grade AKS platforms, service mesh, GitOps, Helm, Kustomize, Flux, Argo CD, or Kubernetes policy engines
Experience with Azure AI Foundry, Semantic Kernel, LangChain, LangGraph, AutoGen, or similar AI orchestration frameworks
Experience building or supporting RAG platforms, AI agents, multi-agent workflows, or enterprise knowledge search solutions
Experience with platform engineering, internal developer platforms, self-service cloud capabilities, paved roads, and reusable engineering templates
Experience working in regulated industries with strong compliance, security, auditability, and governance requirements
Familiarity with SRE practices, incident response, reliability engineering, performance testing, and cost optimization