Senior Azure DevOps Engineer - ML & AKS

Machine Learning Technologies, LLC

Florida

On-site

USD 140,000 - 200,000

Full time

4 hours ago
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Job summary

Machine Learning Technologies, LLC is seeking an experienced DevOps/SRE engineer to own cloud automation, CI/CD pipelines, and secure deployment of AI workloads on Azure. You will work with Azure DevOps, GitHub Actions, and YAML-based CI/CD while managing IaC with Terraform/Bicep, AKS, and ACR.

You will also integrate Azure Machine Learning with ML workflows in CI/CD and apply security best practices across RBAC, Key Vault, and policies, ensuring cost-efficient operations.

Qualifications

  • 5+ years in DevOps/SRE, with 3+ years on Azure.
  • Hands on with Azure DevOps (Repos, Pipelines, Artifacts), GitHub Actions, and YAML based CI/CD.
  • Strong IaC skills (Terraform or Bicep/ARM); experience managing AKS and container registries (ACR).
  • Proficiency with PowerShell and/or Python for automation; familiarity with Docker and Helm.
  • Experience operating Azure Machine Learning (workspaces, endpoints, registries) and integrating ML workflows in CI/CD.
  • Solid understanding of cloud security (RBAC, Key Vault, Managed Identity, policies), networking (VNet, subnets, Private Link), and cost management.

Skills

Azure DevOps
Azure SRE
CI/CD pipelines
IaC (Terraform/Bicep/ARM)
AKS management
Containers (Docker/Helm)
Python/PowerShell
Azure Machine Learning
Cloud security
Cost management

Tools

Azure DevOps
AKS
ACR
GitHub Actions
Terraform
Bicep/ARM
Docker
Helm
YAML
Azure ML Workspace

Job description

Machine Learning Technologies, LLC is seeking an experienced DevOps/SRE engineer to own cloud automation, CI/CD pipelines, and secure deployment of AI workloads on Azure. You will work with Azure DevOps, GitHub Actions, and YAML-based CI/CD while managing IaC with Terraform/Bicep, AKS, and ACR.

You will also integrate Azure Machine Learning with ML workflows in CI/CD and apply security best practices across RBAC, Key Vault, and policies, ensuring cost-efficient operations.

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