Educational Requirements

Bachelor of Engineering

Service Line

Data Analytics Unit

Responsibilities

- Design, implement, and maintain CI/CD pipelines using Azure DevOps.
- Manage and configure Azure DevOps services such as Repos, Pipelines, Boards, and Artifacts.
- Automate build, release, and deployment processes across multiple environments.
- Implement Infrastructure as Code (IaC) using tools like ARM templates, Bicep, or Terraform.
- Monitor pipelines, troubleshoot failures, and optimize performance.
- Integrate security practices (DevSecOps) into CI/CD workflows.
- Collaborate with development, QA, and operations teams to ensure smooth delivery.
- Manage version control repositories (Git) and enforce branching strategies.
- Configure environment monitoring, logging, and alerting systems.
- Ensure compliance with best practices for release management and governance.

Technical and Professional Requirements




- 25 years of experience in Azure DevOps / DevOps Engineering.
- Hands-on experience with Azure DevOps (Pipelines, Repos, Boards, Test Plans).
- Solid knowledge of CI/CD concepts and pipeline automation.
- Experience with Azure Cloud Services (App Services, AKS, VMs, Storage, Networking, etc.).
- Proficiency in scripting languages such as PowerShell, Bash, or Python.
- Experience with containerization tools (Docker, Kubernetes is a plus).
- Familiarity with Infrastructure as Code tools (Terraform, ARM, Bicep).
- Good understanding of version control systems (Git) and branching strategies.
- Knowledge of monitoring tools (Azure Monitor, Log Analytics, Application Insights).

Preferred Skills
- Technology->Cloud Platform->Azure Devops

📌 Azure devops platform Professional (Bengaluru)
🏢 Infosys
📍 Bengaluru