– 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

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

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

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

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

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

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

- Develop automation scripts using Python, PowerShell, and Bash.

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

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

Technical Skills

- Cloud: Microsoft Azure, cloud networking, storage, compute,



and security.

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

- Containerization: Docker, Kubernetes (AKS preferred).

- IaC: Terraform, ARM Templates, Bicep, Ansible.

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

- Scripting: Python, PowerShell, Bash/Shell.

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

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

- OS: Linux and Windows Server.

Required Qualifications

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

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

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

- Practical expertise in Kubernetes, Docker, and Terraform.

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

- Strong scripting, troubleshooting, and problem-solving skills.

- Experience working in Agile/Scrum environments.

Good to Have
- Experience with Azure Kubernetes Service (AKS) and OpenShift.

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

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

📌 Azure DevOps Engineer (Bengaluru)
🏢 ConsultBae India Private
📍 Bengaluru