Job Title: Azure DevOps Engineer with Python
Location: Gurgaon
Experience: 5+ Years
Job Overview:
We are seeking an experienced Azure DevOps Engineer with strong Python skills to design, implement, and manage CI/CD pipelines, automate infrastructure deployment, and enhance cloud-based applications in Azure. The role offers a hybrid work model and an opportunity to work with cutting-edge technologies in a collaborative environment.
Key Responsibilities:
- Build and manage CI/CD pipelines in Azure DevOps.
- Automate infrastructure deployment using Python and Infrastructure as Code (IaC) tools (e.g., Terraform, ARM templates).
- Work with cloud services on Microsoft Azure and ensure high availability, performance, and security.
- Collaborate with teams to improve DevOps practices and deployment automation.
- Implement and monitor logging, alerting, and scaling solutions.
Required Skills:
- Strong experience with Azure DevOps and building CI/CD pipelines.
- Proficiency in Python for automation and scripting.
- Experience with Infrastructure as Code (e.g., Terraform, ARM templates).
- Knowledge of Azure cloud services and containerization (Docker, Kubernetes).
- Familiarity with version control (Git, Azure Repos) and cloud security best practices.
Skills Required
- Strong experience with Azure DevOps and building CI/CD pipelines
- Proficiency in Python for automation and scripting
- Experience with Infrastructure as Code (Terraform, ARM templates)
- Knowledge of Azure cloud services
- Experience with containerization (Docker, Kubernetes)
- Familiarity with version control (Git, Azure Repos) and cloud security best practices
- 5+ years of relevant experience
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.
