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Azure DevOps Engineer

Black & White Business Solutions
6 - 10 Years
Multiple Locations

Posted on: 29/10/2026

Job Description

Azure DevOps Engineer with AI

We are looking for an experienced Azure DevOps Engineer with expertise in Azure DevOps, Terraform, CI/CD automation, and AI technologies. The ideal candidate will be responsible for building and maintaining cloud infrastructure, automating deployment pipelines, and supporting the integration and deployment of AI-powered applications.

Key Responsibilities :

- Design, implement, and maintain CI/CD pipelines using Azure DevOps.

- Automate infrastructure provisioning, configuration, and management using Terraform and Infrastructure as Code (IaC) practices.

- Build and manage automated workflows for application build, testing, deployment, and release management.

- Support the deployment, integration, and operational management of AI/ML applications and services.

- Collaborate with AI/ML engineers and developers to streamline the deployment of AI models and applications.

- Implement DevOps best practices for version control, release automation, environment management, and configuration management.

- Monitor application performance, deployment health, and infrastructure reliability.

- Implement security best practices, access controls, and governance across cloud environments and CI/CD pipelines.

- Troubleshoot pipeline failures, deployment issues, and infrastructure-related incidents.

- Optimize infrastructure and deployment processes for scalability, reliability, and cost efficiency.

- Maintain technical documentation and ensure adherence to established DevOps standards.

Required Skills :

- 6 - 10 years of relevant experience in DevOps, cloud engineering, automation, or related technical roles.

- Strong hands-on experience with Azure DevOps for pipeline creation and release management.

- Practical experience with Terraform for infrastructure provisioning and automation.

- Strong understanding of CI/CD principles and automated software delivery.

- Experience supporting the deployment and integration of AI/ML applications or AI-powered solutions.

- Knowledge of cloud infrastructure, configuration management, and version control systems such as Git.

- Understanding of application monitoring, troubleshooting, and security best practices.

- Strong analytical, problem-solving, and communication skills.

Qualification : Any Graduate or Above

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