Lead Azure Cloud Engineer

We are looking for a seasoned Lead Azure Cloud Engineer to architect, develop, automate, and manage secure, scalable, and cost-effective cloud solutions on Microsoft Azure.

Within this position, you will engage directly with Azure infrastructure, containers, Dev Ops pipelines, Infrastructure as Code, observability, security controls, and AI-driven cloud solutions. You will assist in converting architecture standards into functional platforms, repeatable deployment patterns, automation, and production-ready services.

You will partner closely with Cloud Architects, Platform Engineering, Dev Ops, Security, Networking, Data, AI, and Product teams to provide reliable Azure solutions that enable modern application delivery, containerized workloads, and AI-driven enterprise capabilities.

• Architect, deploy, and manage Azure cloud infrastructure, covering subscriptions, resource groups, networking, identity, governance, security, and platform services
• Develop and maintain repeatable Azure deployment patterns for applications, APIs, front-end workloads, microservices, containers, serverless services, data integrations, and AI-driven solutions
• Deploy and manage Azure Kubernetes Service environments, encompassing node pools, ingress, workload identity, secrets management, autoscaling, networking, monitoring, container registry integration, and security controls
• Create, sustain, and enhance Infrastructure as Code with Terraform, including reusable modules, multi-environment deployments, automated validation, and CI/CD pipeline integration
• Architect and deploy CI/CD pipelines with Git Hub Actions, Azure Dev Ops, Git Lab CI/CD, or comparable tools
• Enable Dev Ops practices including automated builds, testing, security scanning, artifact management, environment promotion, deployment approvals, rollback strategies, and release automation
• Leverage Git Hub Copilot and AI-assisted engineering tools to boost productivity across scripting, IaC development, CI/CD pipeline creation, code review, troubleshooting, documentation, and automation
• Deploy cloud-native solutions using Azure services including App Service, Azure Functions, Logic Apps, Event Grid, Service Bus, Storage, Key Vault, API Management, Azure SQL, Cosmos DB, Azure Monitor, and Application Insights
• Assist with deploying AI-driven solutions using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related Azure AI services
• Develop and integrate AI solution components based on patterns including RAG, agentic workflows, multi‑agent orchestration, tool/function calling, prompt management, grounding, evaluation, and responsible AI controls
• Deploy secure integration patterns using managed identities, RBAC, private endpoints, private DNS, network security groups, firewalls, and API gateways
• Set up and sustain observability with Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, distributed tracing, and operational runbooks
• Resolve complex cloud, networking, deployment, performance, security, and production incidents
• Implement Dev Sec Ops  practices including secrets management, dependency scanning, container image scanning, policy validation, secure configuration, and compliance automation
• Tune Azure environments for performance, reliability, scalability, and cost efficiency
• Contribute to technical standards, reusable templates, documentation, operational procedures, and platform engineering practices
• Offer technical guidance, mentoring, code reviews, and engineering leadership to fellow team members
• Collaborate with architects and stakeholders to convert requirements into practical, secure, and maintainable Azure implementations

• Extensive hands‑on experience architecting, deploying, and managing Azure cloud solutions in enterprise settings
• Sound knowledge of Azure networking, identity, governance, security, monitoring, and platform services
• Hands‑on 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,…