Devops engineer ( Azure or AWS )

Conch TechnologiesPhoenix, AZ
Onsite

About The Position

An Azure Support Engineer is a technical professional with years of experience responsible for providing support to customers using Azure, with strong technical hands-on experience. This role involves troubleshooting, resolving technical issues, optimizing cloud infrastructure, and ensuring customer satisfaction. This is a 12+ month contract position located in Phoenix, AZ, requiring 5 days a week onsite.

Requirements

  • 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

  • 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.
  • Assist customers with setting up, configuring, and managing Cloud environments.
  • Guide customers on best practices for deploying and managing workloads on AZURE.
  • 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.
  • Analyze and optimize the performance of Cloud resources and applications.
  • Provide recommendations for cost optimization, resource allocation, and autoscaling.
  • Respond to and resolve customer-reported incidents in a timely manner.
  • Escalate complex issues to product teams and follow up until resolution.
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