About the role
Department: IT / DevOps / Engineering
Job Summary:We are looking for a skilled Azure DevOps Engineer to join our team and support the development, deployment, and operations of our cloud-based applications and infrastructure. The ideal candidate will have strong expertise in Azure services, CI/CD pipelines, infrastructure as code (IaC), automation, and system administration.
Key Responsibilities:- Design, implement, and maintain CI/CD pipelines using Azure DevOps.
- Automate infrastructure provisioning and configuration using tools such as ARM templates, Bicep, or Terraform.
- Manage source code repositories, branching strategies, and release pipelines.
- Monitor application performance and system health, and troubleshoot deployment or infrastructure issues.
- Collaborate with development, QA, and operations teams to ensure smooth delivery of applications and services.
- Implement and enforce security and compliance best practices across development and production environments.
- Assist in containerization efforts using Docker and orchestration with Kubernetes or Azure Kubernetes Service (AKS).
- Develop and maintain documentation on DevOps processes, tools, and infrastructure.
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- 3+ years of experience in DevOps, systems administration, or software engineering.
- Hands-on experience with Azure DevOps Services (Repos, Pipelines, Artifacts, Boards).
- Proficiency in scripting languages (PowerShell, Bash, or Python).
- Strong understanding of Azure services, such as Azure App Services, Azure Functions, Azure Storage, Key Vault, and Azure Monitor.
- Experience with Infrastructure as Code (IaC) tools like Terraform, Bicep, or ARM templates.
- Familiarity with containerization and orchestration (Docker, Kubernetes, AKS).
- Knowledge of Git and version control best practices.
- Azure certifications such as AZ-400 (Microsoft Certified: DevOps Engineer Expert) or AZ-104.
- Experience with monitoring and logging tools (Application Insights, Log Analytics).
- Knowledge of agile methodologies and software development lifecycle (SDLC).
- Exposure to other cloud platforms like AWS or GCP is a plus.