Azure DevOps Engineer: CI/CD, IaC & SecOps

Doeren hew

Texas

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Doeren Mayhew is seeking a full-time Azure DevOps Engineer in Dallas, TX to design and deliver secure, automated, and reliable delivery platforms for enterprise Azure solutions.

This role focuses on CI/CD pipelines, Infrastructure as Code, cloud deployment automation, DevSecOps guardrails, observability, and platform enablement to help teams deliver applications, data platforms, and AI solutions safely and consistently.

Qualifications

  • 5+ years in DevOps, cloud or platform engineering, or software delivery automation with substantial Microsoft Azure experience.

Responsibilities

  • Design reusable CI/CD pipelines and release processes using Azure DevOps and GitHub Actions, including build, test, promotion, approvals, rollback, and progressive delivery.
  • Develop Infrastructure as Code and platform automation with Terraform, Bicep, ARM, PowerShell, Bash, and Azure CLI.
  • Integrate security, compliance, secrets, policy, and automated testing into delivery workflows using Key Vault, managed identities, RBAC, Entra ID, scanning, and policy-as-code.
  • Enable reliable cloud-native delivery and operations through container and Kubernetes deployment, monitoring, logging, alerting, incident response, and reusable templates and runbooks.

Skills

Azure DevOps
CI/CD
Cloud engineering
Security & governance
Communication

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
Microsoft Certified: DevOps Engineer Expert

Tools

Terraform
Bicep
ARM
PowerShell
Azure CLI

Job description

Doeren Mayhew is seeking a full-time Azure DevOps Engineer in Dallas, TX to design and deliver secure, automated, and reliable delivery platforms for enterprise Azure solutions.

This role focuses on CI/CD pipelines, Infrastructure as Code, cloud deployment automation, DevSecOps guardrails, observability, and platform enablement to help teams deliver applications, data platforms, and AI solutions safely and consistently.

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