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Azure Cloud Engineer

ApTask
5 - 8 Years
Kolkata

Posted on: 08/07/2026

Job Description

Job Title : Azure Cloud Engineer

Location : Remote

Note : We don't need complete DevOps set of profiles, we are looking somebody who can manage end-to-end DevOps pipelines for Azure-based applications.

Job Summary :

We are looking for an experienced Senior Azure Cloud Engineer with strong expertise in designing, implementing, and managing end-to-end DevOps pipelines for Azure-based applications. The ideal candidate should have hands-on experience in automating deployments and managing CI/CD pipelines for services such as Azure Data Factory (ADF), Azure Databricks, Azure Web Apps, Azure Functions, and Containerized applications.

Key Responsibilities :

1. Deploy and manage Azure PaaS services :

- Azure Data Factory (ADF), Web Apps, Function Apps, Logic Apps

- API Management (APIM), Service Bus, Event Hub

- Storage Accounts, Key Vault, Azure SQL

2. Administer Azure SaaS solutions :

- Power BI, Power Apps, Power Automate, SharePoint

- Implement Infrastructure as Code (IaC) using Terraform

- Build and optimize CI/CD pipelines using Azure DevOps

3. Manage Azure Entra ID (Azure AD) :

- Security Groups, PIM, Identity Governance

- Automate group and access management

- Ensure security, compliance, and governance best practices

- Troubleshoot and resolve issues across cloud, DevOps, and identity layers

- Collaborate with cross-functional teams on cloud migration and transformation initiatives

- Maintain proper documentation and knowledge sharing

Required Skills & Experience :

- Strong hands-on experience with Azure DevOps, CI/CD, and deployment automation.

- Expertise in Azure Data Factory (ADF), Azure Databricks, Azure Web Apps, Azure Functions, and Containers (Docker/Kubernetes).

- Experience with Terraform, Git, Azure Repos, and release management.

- Strong understanding of Azure cloud services, scripting, and Infrastructure as Code (IaC).

- Design, develop, and maintain robust CI/CD pipelines for Azure applications and data platforms.

- Automate deployments across Development, QA, UAT, and Production environments.

- Manage deployment pipelines for Azure Data Factory (ADF), Databricks, Web Apps, Azure Functions, and Containers.

- Implement Infrastructure as Code (IaC) using Terraform or ARM/Bicep templates.

- Collaborate with development and data engineering teams to streamline release management and deployment processes.

- Monitor, troubleshoot, and optimize deployment pipelines while ensuring security and DevOps best practices.

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