Azure DevOps Engineer: CI/CD, IaC & AKS Expert

Machine Learning Technologies, LLC; San Jose (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Machine Learning Technologies, LLC seeks an experienced Azure DevOps Developer to design, build, automate, and maintain CI/CD pipelines and cloud infrastructure on Microsoft Azure. The role requires hands-on experience with YAML pipelines, IaC, scripting, containerization, and cloud deployment practices.

Key responsibilities include managing pipelines with Azure DevOps, Terraform/Bicep/ARM templates, and deploying across AKS, App Service, and VMs, with strong emphasis on automation, security,

Qualifications

• Experience designing and maintaining CI/CD pipelines on Azure.
• Hands-on IaC with Terraform, Bicep, or ARM templates.
• Proficient with YAML pipelines and Azure DevOps.
• Strong scripting skills in PowerShell, Bash, Python or Azure CLI.

Responsibilities

• Design, build, and maintain CI/CD pipelines using Azure DevOps.
• Create YAML-based build and release pipelines with templates.
• Automate Azure infrastructure provisioning with IaC tools.
• Manage Azure Repos, Git, and branching strategies.
• Deploy applications using AKS, App Service, and Azure VMs.
• Containerize apps with Docker and Kubernetes; manage deployments.
• Automate deployments across Dev, QA/UAT, and Production environments.
• Integrate pipelines with security scanning, tests, and approvals.

Skills

Azure

CI/CD

Terraform

Kubernetes

Git & branching

Scripting (PowerShell/Bash/Python)

Azure DevOps

Azure CLI

Tools

Azure DevOps

Docker

AKS

ARM templates

Bicep

Terraform

Job description

Machine Learning Technologies, LLC seeks an experienced Azure DevOps Developer to design, build, automate, and maintain CI/CD pipelines and cloud infrastructure on Microsoft Azure. The role requires hands-on experience with YAML pipelines, IaC, scripting, containerization, and cloud deployment practices.

Key responsibilities include managing pipelines with Azure DevOps, Terraform/Bicep/ARM templates, and deploying across AKS, App Service, and VMs, with strong emphasis on automation, security,