Azure DevOps Engineer with Insurance

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)

Skills

Artificial Intelligence
Cloud Computing
Communication
Continuous Delivery
DevOps

Job Details

We are looking for Azure DevOps Engineer with Insurance for our client in Dallas, TX
Job Title: Azure DevOps Engineer with Insurance
Job Location: Dallas, TX
Job Type: Contract
Job Description:
  • Assist application teams in provisioning Azure subscriptions via our Subscription Vending solution.
  • Guide teams through the setup of landing zones aligned with our enterprise architecture standards.
  • Support the creation and configuration of CI/CD pipelines (primarily using Azure DevOps).
  • Translate manual (click-ops) configurations into reusable Terraform modules.
  • Provide troubleshooting and enablement support to accelerate DevOps adoption.
  • Support teams in exploring and integrating Azure OpenAI capabilities into their applications where applicable.
Skills Needed:
  • Beyond general Azure and Terraform expertise, we are specifically looking for individuals with:
  • Ability to translate click-ops configurations into Infrastructure as Code (IaC) using Terraform modules.
  • Hands-on experience with Azure DevOps or GitHub Actions for pipeline setup and CI/CD integration.
  • Strong understanding of Azure Landing Zones and Microsoft s Enterprise Scale architecture.
  • Experience with Subscription Vending frameworks and automated provisioning workflows.
  • Knowledge of RBAC, Policy, and Governance in Azure to ensure secure and compliant environments.
  • Experience with Terraform state management and remote backends (e.g., Azure Storage, Terraform Cloud).
  • Troubleshooting and support mindset to assist teams with pipeline failures, misconfigurations, and IaC errors.
  • Excellent communication and collaboration skills to work directly with application teams and guide them through setup.
  • Additional Skills That Would be Helpful
  • Familiarity with Azure AI Foundry, including designing and deploying AI agents using Microsoft s managed AI platform.
  • Azure OpenAI Service, including provisioning, securing, and integrating models such as GPT, Codex, and Embeddings into Azure-hosted applications.
  • Experience enabling AI-powered features in cloud-native applications, such as chatbots, summarization, code generation, or intelligent search.
  • Understanding of responsible AI practices and governance within Azure OpenAI deployments.
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