Devops engineer ( Azure or AWS )

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Greetings,

Azure Devops engineer

Location: Phoenix, AZ ( 5 days a week onsite )

Duration: 12 Months Contract

An Azure Support Engineer is a technical professional yrs experience responsible for providing support to customers using Azure strong technical hands on experience. This role involves troubleshooting, resolving technical issues, optimizing cloud infrastructure, and ensuring customer satisfaction. Below is a detailed job description for an Azure Support Engineer:

Skill Set:

Strong understanding of Azure core services

• Azure GenAl deep understanding
  
  

Terraform - Good hands on experience with TFE

Experience with scripting and automation tools (e.g., Python, Bash, Terraform, CloudFormation).

• Good understanding of K8, Docker and containerization platform.
  
  

CI/CD-end to end deployment process -any tool-Jenkins, GitHub, ArgoD, CI/CD Pipeline and any orchestration tools

• Experience in monitoring, logging, and alerting solutions to ensure the reliability, performance, and availability of data pipelines and infrastructure components
• Azure certification is mandatory.
• Monitoring and Alerting
  
  

Responsibilities:

• Technical Support:
  
  

Provide expert-level support for Azure services including Security and role.

• Troubleshoot and resolve customer issues related to infrastructure, networking, security, and performance.
• Debug and resolve issues related to application deployment, scaling, and monitoring on AZURE.
• Infrastructure Management:
• Assist customers with setting up, configuring, and managing Cloud environments.
  
  

Guide customers on best practices for deploying and managing workloads on AZURE

• Networking and Security:
  
  

Troubleshoot networking issues related to VPC, subnets, route tables, security groups, and NAT gateways.

Provide guidance on securing environments, including IAM roles, policies, encryption, and compliance.

• Assist with configuring and troubleshooting AZURE Load Balancers, Route 53, and Direct Connect.
• Performance Optimization:
  
  

Analyse and optimize the performance of Cloud resources and applications.

Provide recommendations for cost optimization, resource allocation, and autoscaling.

• Incident Management:
  
  

Respond to and resolve customer-reported incidents in a timely manner.

Escalate complex issues to product teams and follow up until resolution.

With Regards,

Vandana

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