Azure DevOps Engineer — Hybrid Cloud Automation

Kavaliro

San Jose (CA)

Hybrid

USD 130,000 - 150,000

Full time

3 days ago
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Job summary

Kavaliro is seeking a hands-on DevOps Engineer with strong Microsoft Azure experience to design, automate, and support secure cloud environments. You will focus on automation, CI/CD, and scalable, high-performing infrastructure across Azure services, contributing directly to efficient deployments and ongoing reliability.

This hybrid San Francisco Bay Area role requires US work authorization. You will collaborate with global engineering teams to optimize deployments and cloud costs while

Qualifications

  • Hands-on Azure infrastructure design and management.
  • Proven CI/CD pipeline development experience.
  • Terraform IaC experience; ARM/Bicep helpful.
  • Container orchestration with Docker/Kubernetes (AKS).
  • Scripting in PowerShell, Bash, or Python.

Responsibilities

  • Design, build, and maintain CI/CD pipelines in Azure DevOps or GitHub Actions.
  • Automate provisioning and configuration with Terraform, ARM, or Bicep.
  • Build and support scalable Azure environments (VMs, AKS, App Services).
  • Implement monitoring, logging, and alerting with Azure Monitor & Insights.
  • Apply cloud security best practices for identity, networking, and Key Vault.
  • Collaborate with software teams to improve deployment processes and reliability.
  • Identify opportunities to increase automation and reduce costs.

Skills

Azure
CI/CD
Terraform
ARM/Bicep
Docker
Kubernetes
PowerShell
Python
Entra ID
AKS

Tools

AKS

Job description

Kavaliro is seeking a hands-on DevOps Engineer with strong Microsoft Azure experience to design, automate, and support secure cloud environments. You will focus on automation, CI/CD, and scalable, high-performing infrastructure across Azure services, contributing directly to efficient deployments and ongoing reliability.

This hybrid San Francisco Bay Area role requires US work authorization. You will collaborate with global engineering teams to optimize deployments and cloud costs while

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