Lead Azure Cloud Engineer

Responsibilities

• Design, implement, and maintain Azure cloud infrastructure, including subscriptions, resource groups, networking, identity, governance, security, and platform services
• Construct and support reusable Azure deployment patterns for applications, APIs, front-end workloads, microservices, containers, serverless services, data integrations, and AI-enabled solutions
• Operate and implement Azure Kubernetes Service environments, covering node pools, ingress, workload identity, secrets management, autoscaling, networking, monitoring, container registry integration, and security controls
• Develop, maintain, and enhance Infrastructure as Code using Terraform, including reusable modules, multi-environment deployments, automated validation, and CI/CD pipeline integration
• Create and implement CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or comparable tools
• Support DevOps practices including automated builds, testing, security scanning, artifact management, environment promotion, deployment approvals, rollback strategies, and release automation
• Leverage GitHub Copilot and AI-assisted engineering tools to boost productivity in scripting, IaC development, CI/CD pipeline creation, code review, troubleshooting, documentation, and automation
• Deploy cloud-native solutions using Azure services such as App Service, Azure Functions, Logic Apps, Event Grid, Service Bus, Storage, Key Vault, API Management, Azure SQL, Cosmos DB, Azure
• Monitor, and Application Insights
• Support implementation of AI-enabled solutions using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related Azure AI services

Languages

Required

• 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
• 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
• Background working with GitHub, pull requests, code reviews, branching strategies, and collaborative engineering workflows
• 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
• Solid scripting and automation abilities using PowerShell, Bash, Python, or comparable languages
• Experience leading or mentoring a team of five or more engineers, including performance management and career development

Nice to have

• Strong communication skills and capability to collaborate with architects, engineers, security teams, product teams, and business stakeholders

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