Azure Devops Lead

Senior Azure DevSecOps Cloud Platform Engineer Client: Large Accounting & Technology Firm Location: Remote Time Zone: EST Duration: Long-Term Contract Rate: $40/hour W2 or 1099 50 c2c Interview: Video Interview BDM Note: Please send ONLY 2 highly qualified profiles .

Job Description Our client, a large Accounting & Technology firm, is urgently looking for a Senior Azure DevSecOps Cloud Platform Engineer to support and scale enterprise Azure infrastructure and AI platform services.

The ideal candidate should have strong hands-on experience with Azure Cloud, DevSecOps, Terraform, GitHub Actions, CI/CD, containerized applications, microservices, and AI/LLM infrastructure . The candidate will be responsible for designing, provisioning, deploying, automating, and maintaining Azure infrastructure, including Azure Container Apps, Azure Container Registry, Azure Functions, event-driven services, secure networking, and AI/LLM endpoints .

• 5+ years of hands-on experience with Microsoft Azure
• Strong experience with Terraform
• Experience with Bicep/ARM Templates
• Strong hands-on experience with GitHub Actions
• Experience with self-hosted Linux runners
• Strong CI/CD and DevSecOps experience
• Experience with Azure Container Apps (ACA)
• Experience with Azure Container Registry (ACR)
• Experience with Azure Function Apps
• Experience with Azure App Service Plans
• Strong knowledge of Azure-native services
• Experience with Azure Event Grid
• Experience with Azure Service Bus
• Strong knowledge of Azure RBAC/IAM
• Experience with User-Assigned Managed Identities
• Experience with Private Endpoints and secure network routing
• Experience with microservices and containerized APIs
• Experience with reverse proxies and event-driven architectures
• AI / GenAI Experience
• Experience supporting AI/ML or Generative AI infrastructure
• Experience with Azure OpenAI
• Exposure to Gemini and Claude LLM endpoints
• Experience with LLM endpoint deployment and management
• Understanding of AI token consumption, metering, and related infrastructure
• Experience supporting enterprise AI/LLM platforms is highly preferred

• Design and maintain modular Terraform/Bicep configurations
• Automate Azure infrastructure provisioning and deployment
• Build and maintain enterprise CI/CD pipelines
• Develop GitHub Actions workflows for build, deployment, release, and validation
• Support self-hosted Linux runners
• Deploy and manage containerized applications and microservices
• Work extensively with Azure Container Apps and Azure Container Registry
• Configure Azure Event Grid, Service Bus, and Event Subscriptions
• Implement Azure RBAC/IAM and managed identities
• Configure secure secret management
• Troubleshoot private endpoint routing and Azure networking
• Support enterprise AI/LLM platform infrastructure
• Implement production-grade DevSecOps, security, governance, and automation
• Support highly available and scalable Azure cloud environments

• Enterprise-scale Azure environment experience
• Production-grade DevSecOps experience
• AI/LLM platform engineering experience
• Azure OpenAI integration experience
• Experience with automated security and compliance controls
• Strong understanding of cloud security and governance
• AZ-400 certification preferred

Please submit only 2 highly qualified and relevant profiles.

Rate: $40/hour W2 or 1099 50 c2c Location: Remote Interview: Video Interview Time Zone: EST Duration: Long-Term Contract

For applications and inquiries,