TEKFORTUNE INC
DevOps Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DevOps Architect in Dallas, TX, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure DevOps, Terraform, and AI model deployments. Azure certifications are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Texas, United States
-
🧠 - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #Automation #Model Deployment #Security #Bash #Terraform #Deployment #Monitoring #API (Application Programming Interface) #Infrastructure as Code (IaC) #YAML (YAML Ain't Markup Language) #Storage #Azure cloud #Azure #Cloud #Python #Logging #Vault #IAM (Identity and Access Management) #Scripting #Disaster Recovery #Docker #Azure DevOps #Scala #DevOps #ADF (Azure Data Factory) #Azure Data Factory #Kubernetes
Role description
Job Title: DevOps Architect
Location: 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
Job Title: DevOps Architect
Location: 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
