Senior Azure DevOps Engineer – AI & Landing Zone Expert

Openkrill

United States

Hybrid

USD 54,000 - 85,000

Full time

14 days+
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Job summary

DVT is seeking a Senior DevOps Engineer with strong Azure experience to join an AI Build Team in Johannesburg. You will design and deploy Azure Landing Zones, codify infrastructure with Terraform/Bicep, and drive governance and automation across CI/CD pipelines.

This client-facing role collaborates with enterprise teams across financial services and government, delivering reliable cloud solutions. You will mentor junior engineers, advocate best practices, and maintain Git-based workflows while

Qualifications

  • 3+ years' hands-on DevOps or platform engineering experience with strong Azure exposure.
  • Proven production experience with Terraform and/or Bicep.
  • Working knowledge of Entra ID, RBAC and Azure Policy.
  • Strong Git and pipeline automation skills.

Responsibilities

  • Design, deploy and evolve Azure Landing Zones, applying the landing zone model and weighing its design trade-offs.
  • Implement and manage Azure Policy to enforce governance guardrails.
  • Implement and maintain Entra ID integration and Azure RBAC access models.
  • Build and maintain production Azure infrastructure using Terraform and/or Bicep; manage code across environments.
  • Build and automate CI/CD pipelines for infrastructure and .NET / C# delivery; maintain Git-based workflows.

Skills

Azure exposure
Git
Pipeline automation
Communication

Tools

Terraform
Bicep
Entra ID
Azure Policy
Git

Job description

DVT is seeking a Senior DevOps Engineer with strong Azure experience to join an AI Build Team in Johannesburg. You will design and deploy Azure Landing Zones, codify infrastructure with Terraform/Bicep, and drive governance and automation across CI/CD pipelines.

This client-facing role collaborates with enterprise teams across financial services and government, delivering reliable cloud solutions. You will mentor junior engineers, advocate best practices, and maintain Git-based workflows while

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