Senior Data Engineer - DevOps

We are looking for an experienced Azure DevOps/MLOps Engineer to join our team and contribute to the development, deployment, and management of our cloud-based AI applications and infrastructure. The ideal candidate will have a strong background in DevOps practices, experience with Azure DevOps/MLOps tools, and a passion for automation and continuous improvement.

Responsibilities:

Design, implement, and maintain CI/CD pipelines using Azure DevOps for automated build, test, and deployment of applications.

Collaborate with development teams to optimize build and release processes and improve application performance, reliability, and scalability.

Configure and manage Azure infrastructure resources, including VMs, containers, and serverless functions, using Infrastructure as Code (IaC) tools such as ARM templates or Terraform.

Implement and maintain monitoring, logging, and alerting solutions to ensure the health and availability of cloud services and applications.

Troubleshoot and resolve issues related to build and deployment failures, performance bottlenecks, and infrastructure outages.

Continuously evaluate and adopt new technologies, tools, and best practices to streamline development and operations workflows.