Azure DevOps Engineer – CI/CD & Kubernetes (Remote)

MACHINE LEARNING TECHNOLOGIES LLC; San Jose (CA); Remote; USD 84,000 - 120,000; 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. Strong YAML pipelines, IaC, scripting, containerization, and cloud deployment practices are essential.

The role involves deploying across Dev, QA/UAT, and Production, managing Azure services, and ensuring security and reliability through monitoring and automation. Remote option available from San Jose, CA.

Qualifications

• Hands-on design and maintenance of CI/CD pipelines on Microsoft Azure.
• Experience with Infrastructure as Code and scripting.
• Familiarity with Azure services such as AKS, App Service, VMs, and monitoring tools.

Responsibilities

• Design, develop, and maintain CI/CD pipelines in Azure DevOps.
• Build YAML-based pipelines with reusable templates.
• Automate Azure infrastructure using IaC tools (Terraform/Bicep/ARM).
• Manage Git repos, branching strategies, and PRs.
• Deploy apps on AKS, App Service, and Azure VMs.
• Containerize apps with Docker and Kubernetes.
• Automate deployments across Dev, QA/UAT, and Production.
• Develop automation scripts (PowerShell, Bash, Python, Azure CLI).
• Integrate pipelines with security, testing, and artifact management.
• Configure monitoring with Azure Monitor and Application Insights.
• Manage secrets with Azure Key Vault and certificates.
• Troubleshoot pipeline, deployment, infra, and env issues.

Skills

CI/CD expertise

Scripting (PowerShell, Bash, Python)

Git workflows

Tools

Azure DevOps Services

Terraform

Bicep

ARM Templates

AKS

Docker

Kubernetes

Azure Monitor

Key Vault

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. Strong YAML pipelines, IaC, scripting, containerization, and cloud deployment practices are essential.

The role involves deploying across Dev, QA/UAT, and Production, managing Azure services, and ensuring security and reliability through monitoring and automation. Remote option available from San Jose, CA.