Azure DevOps Engineer

Job Description – Azure DevOps Engineer 

Role Overview

We are looking for an experienced Azure DevOps Engineer with expertise in cloud infrastructure, CI/CD automation, Kubernetes, Infrastructure as Code (IaC), and AI-driven DevOps practices. The candidate should have hands-on experience with Azure services and AI-powered tools to improve deployment automation, monitoring, and operational efficiency.

Key Responsibilities

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  Design, implement, and manage CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or GitLab CI/CD.

  
  


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  Manage Azure cloud infrastructure, including networking, storage, compute, and security.

  
  


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  Implement containerization and orchestration using Docker and Kubernetes (AKS/EKS/GKE).

  
  


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  Automate infrastructure provisioning using Terraform, ARM Templates, Bicep, and Ansible.

  
  


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  Leverage AI tools such as GitHub Copilot and Azure OpenAI for coding, scripting, and DevOps automation.

  
  


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  Implement AIOps practices, including intelligent monitoring, anomaly detection, and automated incident management.

  
  


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  Develop automation scripts using Python, PowerShell, and Bash.

  
  


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  Manage monitoring and logging using Prometheus, Grafana, Azure Monitor, and Application Insights.

  
  


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  Troubleshoot infrastructure and deployment issues while ensuring security, scalability, and reliability.

  
  

Technical Skills

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  Cloud: Microsoft Azure, cloud networking, storage, compute, and security.

  
  


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  CI/CD: Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD.

  
  


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  Containerization: Docker, Kubernetes (AKS preferred).

  
  


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  IaC: Terraform, ARM Templates, Bicep, Ansible.

  
  


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  AI/AIOps: GitHub Copilot, Azure OpenAI, AI-driven automation, intelligent monitoring, anomaly detection.

  
  


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  Scripting: Python, PowerShell, Bash/Shell.

  
  


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  Monitoring: Prometheus, Grafana, ELK, Splunk, Azure Monitor, Application Insights.

  
  


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  Source Control: Git, GitHub, Azure Repos, Bitbucket.

  
  


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  OS: Linux and Windows Server.

  
  

Required Qualifications

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  Bachelor's degree in Computer Science, IT, Engineering, or a related field.

  
  


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  6–9 years of experience in DevOps, Cloud Engineering, or SRE.

  
  


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  Strong hands-on experience in Azure DevOps and CI/CD pipeline implementation.

  
  


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  Practical expertise in Kubernetes, Docker, and Terraform.

  
  


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  Experience with AI-powered tools or AI-driven automation in DevOps environments.

  
  


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  Strong scripting, troubleshooting, and problem-solving skills.

  
  


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  Experience working in Agile/Scrum environments.

  
  

Good to Have

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  Experience with Azure Kubernetes Service (AKS) and OpenShift.

  
  


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  Exposure to Azure AI services, LLM integrations, and AI agents.

  
  


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  Knowledge of predictive monitoring and AI-driven root cause analysis.