Senior Data Engineer - DevOps

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

Job Description

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.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Minimum of 4 years of experience as a DevOps Engineer or similar role.
• Strong proficiency in Azure DevOps tools, including Azure ML, Azure Pipelines, Azure Repos, Azure Artifacts, and Azure Boards.
• Hands-on experience with Azure cloud services, including Azure VMs, Azure App Service, Azure Functions, Azure Container Instances, and Azure Kubernetes Service (AKS).
• Experience with Infrastructure as Code (IaC) tools such as ARM templates, Terraform, or Ansible.
• Proficiency in scripting languages such as PowerShell, Bash, or Python for automation and infrastructure management.
• Knowledge of CI/CD best practices, Agile methodologies, and DevOps principles. • Excellent communication skills and ability to work collaboratively in a team environment