
Devops Azure Engineer
3 weeks ago
Job Title: DevOps Engineer
Experience: 4 – 6 Years
Location: Noida
Job Type: Contract (Long Term)
Work Time: IST Shift
Job Description
We are looking for an experienced DevOps Engineer with 4–6 years of expertise in managing and scaling cloud infrastructure, particularly on Azure. The ideal candidate will have hands-on experience with Container Apps, Functions, App Services, and building CI/CD pipelines using GitHub Actions or Azure DevOps. You will play a key role in deploying and managing multi-tenant/multi-customer infrastructures, optimizing deployments, and moving towards consolidated architecture. Strong knowledge of Docker, Infrastructure as Code (Terraform), and monitoring tools such as App Insights and Grafana is essential. This role requires a proactive engineer who can collaborate across teams and ensure highly available, secure, and efficient infrastructure operations.
Key Responsibilities
- Manage and scale Azure infrastructure including Container Apps, Functions, and App Services.
- Build and maintain CI/CD pipelines using GitHub Actions and Azure DevOps.
- Work with Docker and monitoring tools such as App Insights and Grafana.
- Implement and manage Infrastructure as Code using Terraform.
- Handle multi-tenant/multi-customer deployments, with a focus on infrastructure consolidation.
Requirements
- 4–6 years of professional experience as a DevOps Engineer.
- Strong expertise with Azure infrastructure: Container Apps, Functions, and App Services.
- Hands-on experience with CI/CD pipelines using GitHub Actions and Azure DevOps.
- Proficiency in Docker for containerization and monitoring tools like App Insights and Grafana.
- Experience with Infrastructure as Code (Terraform).
- Knowledge of multi-tenant/multi-customer deployment strategies and infrastructure consolidation.
- Strong problem-solving and troubleshooting skills.
- Ability to collaborate with development and operations teams for smooth deployments.
- Familiarity with cloud security, performance tuning, and cost optimization best practices.
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