Azure DevOps
Shrive TechnologiesUnited States17 hours ago
Full-timeRemote FriendlyManagement, Manufacturing
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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.
- 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.
- 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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