Position: Azure DevOps Engineer / Senior DevOps Engineer
Location: (Specify Location)
Experience Required: 5+ Years
Key Responsibilities
- Design, build, and manage automated infrastructure using Infrastructure as Code (IaC) tools such as Terraform and ARM/Bicep templates.
- Develop and maintain CI/CD pipelines using Azure DevOps (Pipelines, Repos, Artifacts, Boards) to support automated testing and continuous delivery.
- Deploy, manage, and maintain production workloads on Microsoft Azure, ensuring scalability, reliability, performance, and cost optimization.
- Implement monitoring, logging, and alerting solutions using Azure Monitor, Log Analytics, and Application Insights to proactively detect and resolve issues.
- Collaborate to enforce Azure cloud security best practices, manage Azure RBAC, Managed Identities, Key Vault, and support compliance and governance standards via Azure Policy.
- Work closely with developers, QA, and operations teams to streamline workflows and support Agile and DevOps-driven delivery environments.
- Troubleshoot and resolve complex infrastructure and application issues across distributed systems and Azure cloud services.
- Implement and manage containerized environments using Docker and Kubernetes (AKS).
- Support Linux/Windows system administration and optimize performance across multiple environments.
- Contribute to automation, operational excellence, and DevOps best practices across all stages of the development lifecycle.
Required Skills & Expertise
- Deep knowledge of Azure services including Azure VM, Storage Accounts, VNets, AAD, Functions, SQL DB, AKS, App Services
- Hands-on experience with Terraform and ARM/Bicep templates
- Strong experience with CI/CD using Azure DevOps, GitHub Actions (optional)
- Proficiency in scripting languages such as PowerShell, Bash, Python
- Solid understanding of Docker and Kubernetes (AKS/K8s)
- Experience in Linux/Windows administration
- Familiar with Agile methodologies, DevOps principles, and microservices architecture
- Strong troubleshooting skills across cloud, infrastructure, and application layers
