Job description

Azure DevOps with Insurance Background Scope of Work The consulting resources will work alongside our internal engineers to: • 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. Engagement Details • Start Date: As soon as possible on or after October 1 Location: Remote with potential onsite collaboration in Dallas, TX

Requirements