DE&A - AIML - ML Ops (Azure) Professional

Cloud Engineer :

Mandatory Skills: Azure Devops/Jenkins, Terraform, Azure/AWS/GCP foundational and scripting

5-6 year of experience with Azure/AWS on building and deploying services
Good Understanding implementation .NET concepts with azure services e.g. app service, function apps.

Good knowledge in automating the Azure services and create scripts for azure services monitoring, Autoscaling, Instance scheduling.

Analyze, optimize, and implement cost optimization actions on Azure

Implement and manage automated tools to help identify cost trends and anomalies

Build automation that optimizes the cloud environment

Create financial and usage dashboards using cloud native tools and APIs

Configure FinOps KPIs for budget, forecast, and expenses reports

Good knowledge on azure AD, IAM, function apps, Azure service bus or AWS IAM, Security, Networking ,Costexplorer etc.

Cloud Engineer :

Mandatory Skills: Azure Devops/Jenkins, Terraform, Azure/AWS/GCP foundational and scripting

5-6 year of experience with Azure/AWS on building and deploying services
Good Understanding implementation .NET concepts with azure services e.g. app service, function apps.

Good knowledge in automating the Azure services and create scripts for azure services monitoring, Autoscaling, Instance scheduling.

Analyze, optimize, and implement cost optimization actions on Azure

Implement and manage automated tools to help identify cost trends and anomalies

Build automation that optimizes the cloud environment

Create financial and usage dashboards using cloud native tools and APIs

Configure FinOps KPIs for budget, forecast, and expenses reports

Good knowledge on azure AD, IAM, function apps, Azure service bus or AWS IAM, Security, Networking ,Costexplorer etc.

Cloud Engineer :

Mandatory Skills: Azure Devops/Jenkins, Terraform, Azure/AWS/GCP foundational and scripting

5-6 year of experience with Azure/AWS on building and deploying services
Good Understanding implementation .NET concepts with azure services e.g. app service, function apps.

Good knowledge in automating the Azure services and create scripts for azure services monitoring, Autoscaling, Instance scheduling.

Analyze, optimize, and implement cost optimization actions on Azure

Implement and manage automated tools to help identify cost trends and anomalies

Build automation that optimizes the cloud environment

Create financial and usage dashboards using cloud native tools and APIs

Configure FinOps KPIs for budget, forecast, and expenses reports

Good knowledge on azure AD, IAM, function apps, Azure service bus or AWS IAM, Security, Networking ,Costexplorer etc.

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