Senior Azure Cloud Engineer

About the role

We are looking for an experienced Senior Azure Cloud Engineer to design, build, automate and operate secure, scalable and cost‑efficient solutions on Microsoft Azure. You will work hands‑on with Azure infrastructure, containers, DevOps pipelines, Infrastructure as Code and AI‑enabled cloud services.

Key responsibilities

• Design, implement and maintain Azure cloud infrastructure, including subscriptions, resource groups, networking, identity, governance and security.
• Create reusable deployment patterns for applications, APIs, micro‑services, containers, serverless services, data integrations and AI solutions.
• Operate Azure Kubernetes Service (AKS) environments with node pools, ingress, workload identity, secrets management, autoscaling and monitoring.
• Develop and maintain Infrastructure as Code using Terraform with reusable modules and multi‑environment pipelines.
• Build CI/CD pipelines with GitHub Actions, Azure DevOps, GitLab CI/CD or similar tools, supporting automated builds, testing, security scanning and release automation.
• Integrate AI components using Azure AI, Azure OpenAI, Azure AI Search and Azure Machine Learning.
• Implement secure integration patterns using managed identities, RBAC, private endpoints, NSGs, firewalls and API gateways.
• Establish observability with Azure Monitor, Log Analytics, Application Insights, dashboards and runbooks.

Required profile

• Several years of hands‑on experience designing and operating Azure cloud solutions.
• Proven ability to work collaboratively with Cloud Architects, Platform Engineering, DevOps, Security, Networking, Data, AI and Product teams.
• Strong problem‑solving skills for complex cloud, networking and security issues.

Required skills

• Microsoft Azure services (AKS, App Service, Functions, Logic Apps, Event Grid, Service Bus, Storage, Key Vault, API Management, Azure SQL, Cosmos DB, Monitor, Application Insights).
• Terraform for Infrastructure as Code.
• CI/CD tools: GitHub Actions, Azure DevOps, GitLab CI/CD.
• Container orchestration with Azure Kubernetes Service.
• Azure AI suite (Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning).
• Security controls: managed identities, RBAC, private endpoints, NSGs, firewalls.
• Observability tools: Azure Monitor, Log Analytics, Application Insights, Container Insights.