Cloud Engineer

3 weeks ago

Pune, Maharashtra, India POWER IT SERVICES Full time

1. Infrastructure Planning & Design Design the architecture for local Azure clusters (e.g., Azure Stack HCI or AKS on-prem). Assess hardware compatibility and sizing for compute, storage, and networking. Plan for high availability, disaster recovery, and fault tolerance.

2. Networking Configuration Configure virtual networks (VNets), subnets, NSGs, and UDRs.

3. Set up ExpressRoute, VPN gateways, or private peering for hybrid connectivity.

Implement DNS, DHCP, and IP address management for local clusters.

4. Azure Stack HCI / Azure Arc Deployment Install and configure Azure Stack HCI OS on validated hardware. Register the cluster with Azure and enable Azure Arc for hybrid management. Deploy and manage Arc-enabled servers, Kubernetes clusters, and data services.

5. Storage Configuration Set up Storage Spaces Direct (S2D) for Azure Stack HCI Configure Azure File Sync, Blob Storage, and local backup solutions. Implement data replication and tiering strategies.

6. Security & Compliance Apply Azure Security Center policies and recommendations. Configure Microsoft Defender for Cloud for threat detection. Ensure compliance with local data residency laws and industry regulations.

7. Monitoring & Automation Set up Azure Monitor, Log Analytics, and Application Insights. Automate deployments using ARM templates, Bicep, Terraform, or Ansible. Use Azure Automation or PowerShell DSC for configuration management.

8. Backup & Disaster Recovery Implement Azure Backup and Site Recovery for local workloads. Test failover and recovery procedures regularly. Ensure RTO/RPO objectives are met.

9. Containerization & DevOps Deploy and manage AKS on Azure Stack HCI or Arc-enabled Kubernetes. Integrate with Azure DevOps, GitHub Actions, or Jenkins for CI/CD. Manage container registries with Azure Container Registry (ACR).

10. Performance Tuning & Troubleshooting Monitor cluster health and performance metrics. Troubleshoot issues related to networking, storage, or compute. Optimize workloads for cost and performance.

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