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. Required Skills 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

Key Responsibilities

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

Preferred Qualifications

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