Extensive hands-on experience architecting, implementing, and managing Azure cloud solutions within enterprise environments
Strong grasp of Azure networking, identity, governance, security, monitoring, and platform services
Applied experience with Azure Landing Zone concepts, hub-and-spoke networking, private endpoints, private DNS, firewalls, NSGs, route tables, and workload integration patterns
Extensive hands-on experience with Azure Kubernetes Service, containers, container registries, ingress controllers, workload identity, autoscaling, monitoring, and container security
Extensive experience with Terraform or similar Infrastructure as Code tools, including module development, state management, validation, and multi-environment delivery
Extensive experience with CI/CD pipelines, ideally using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar platforms
Solid grasp of DevOps and DevSecOps practices including automated testing, security scanning, artifact management, release automation, and deployment governance
Background working with GitHub, pull requests, code reviews, branching strategies, and collaborative engineering workflows
Applied experience using GitHub Copilot or comparable AI-assisted development tools for infrastructure, automation, scripting, pipeline development, or documentation
Background 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
Background implementing observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerting, and operational runbooks
Grasp of Azure AI and Generative AI services, particularly Azure OpenAI, Azure AI Search, and AI-enabled automation patterns
Applied knowledge of AI architecture patterns such as RAG, agentic workflows, multi-agent systems, tool/function calling, grounding, prompt management, evaluation, and responsible AI
Capability to resolve complex technical issues spanning cloud infrastructure, networking, containers, CI/CD, security, and application integration
Solid scripting and automation abilities using PowerShell, Bash, Python, or comparable languages
Capacity to work independently, own technical delivery, and support production-grade cloud environments
Strong communication skills and capability to collaborate 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
Background with production-grade AKS platforms, service mesh, GitOps, Helm, Kustomize, Flux, Argo CD, or Kubernetes policy engines
Background with Azure AI Foundry, Semantic Kernel, LangChain, LangGraph, AutoGen, or comparable AI orchestration frameworks
Background constructing or supporting RAG platforms, AI agents, multi-agent workflows, or enterprise knowledge search solutions
Background with platform engineering, internal developer platforms, self-service cloud capabilities, paved roads, and reusable engineering templates
Background 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