Summary
A seasoned DevOps architecture position responsible for designing and implementing secure, scalable, automated cloud infrastructure. The role combines Azure services, Infrastructure as Code, CI/CD pipelines, identity and access management, AI workload deployment, and disaster recovery planning.
Highlights
Architecture-focused DevOps role with hands-on responsibility for secure, scalable Azure infrastructure, automation, AI model deployment, identity management, and disaster recovery.
Description
Devops Architect:
Dallas TX
We are looking for a seasoned DevOps Architect with deep expertise in Azure DevOps, Terraform, and Azure cloud services to lead the design and implementation of scalable, secure, and automated infrastructure solutions.
The ideal candidate will have hands-on experience with AI model deployments, IAM (Identity and Access Management), on-premise agent pools, and disaster recovery strategies, with a strong focus on automation and cloud-native best practices.
Key Responsibilities:
⦁ Architect and implement end-to-end DevOps solutions using Azure DevOps, Terraform, and YAML-based pipelines.
⦁ Design and manage infrastructure for Azure services including:
⦁ App Services
⦁ Azure Data Factory
⦁ API Management (APIM)
⦁ Storage Accounts
⦁ Key Vaults
⦁ Azure OpenAI
⦁ Deploy and manage AI models and machine learning infrastructure using Terraform.
⦁ Implement and manage IAM policies and role-based access control (RBAC) across environments.
⦁ Configure and manage on-premise agent pools in Azure DevOps for hybrid deployment scenarios.
⦁ Define and execute disaster recovery and business continuity strategies.
⦁ Collaborate with development, security, and operations teams to ensure secure and efficient CI/CD processes.
⦁ Monitor system performance, troubleshoot issues, and optimize infrastructure for scalability and reliability.
⦁ Establish and enforce best practices for infrastructure as code (IaC), cloud governance, and DevOps automation.
Mandatory Skills:
⦁ Azure DevOps (Repos, Pipelines, Boards, Artifacts)
⦁ Terraform (including modules for AI, IAM, and Azure services)
⦁ YAML scripting for pipeline automation
Additional Required Skills:
⦁ Strong experience with Azure services: App Services, Data Factory, APIM, Storage, Key Vaults
⦁ Experience deploying and managing Azure OpenAI and AI/ML models
⦁ Expertise in IAM, RBAC, and security best practices in Azure
⦁ Experience with on-premise agent pools in Azure DevOps
⦁ Proficiency in scripting (PowerShell, Bash, or Python)
⦁ Strong understanding of networking, monitoring, and logging in Azure
⦁ Experience with disaster recovery planning and implementation
Preferred Qualifications:
⦁ Azure certifications (e.g., Azure Solutions Architect Expert, DevOps Engineer Expert)
⦁ Experience with containerization (Docker, Kubernetes)
⦁ Familiarity with monitoring tools like Azure Monitor, Log Analytics, and Application Insights
