Azure Cloud Architect

Há 4 dias

Guararema, Brasil beBeeCloud Tempo inteiro

Cloud Solutions Engineer About the Role We are seeking a highly skilled Cloud Solutions Engineer to join our team. This individual will be responsible for designing, implementing, and deploying cloud-native solutions on Azure. The ideal candidate will have strong knowledge of Azure PaaS services, DevOps skills, and experience with infrastructure as code. They will work closely with backend engineers and automation teams to architect and deploy cloud solutions that meet business requirements. Collaborate with engineering teams to design and implement cloud-based solutions using Azure Functions, App Services, AKS, ACR, APIM, and Application Gateway. Develop and maintain CI/CD pipelines using Azure DevOps (YAML-based pipelines) or GitHub Actions when required. Design and implement Infrastructure as Code using Terraform, Bicep, or ARM templates. Troubleshoot Azure environments, including debugging deployments, managing permissions (RBAC), and resolving issues with PaaS services. Assist data scientists and AI engineers with containerization, API endpoints, and prototyping on Azure Machine Learning or related services. Implement security gates (SonarQube, SCA, DAST, SAST) in CI/CD pipelines and ensure compliance with Azure policies and governance. Optimize and monitor Azure environments using Azure Monitor, Log Analytics, and Application Insights. Support and improve operational automation (PowerShell, Python) and cost optimization initiatives (tagging, right-sizing). Requirements Strong experience with Azure Functions, App Services, AKS, ACR, and APIM. Hands-on expertise with Terraform, Bicep, or ARM templates. Proficiency in Azure DevOps Services (Repos, Pipelines, Boards, Artifacts) and/or GitHub Actions. Strong troubleshooting skills for Azure PaaS services and deployment issues. Experience with blue-green, canary, and rolling deployment strategies. Knowledge of security and compliance practices in Azure (Azure Policy, RBAC, Key Vault, Defender for Cloud). Proficiency in PowerShell, Python, or Bash for automation. Familiarity with Azure cost management and resource optimization. Excellent communication skills to guide and support development and data science teams.

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