KTek Resourcing
DevOps Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure DevOps Architect in Dallas, TX, for 6+ months, with a pay rate of "unknown." Key skills include Azure DevOps, Terraform, and experience with AI model deployments and IAM. Candidates must be USC or GC holders.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 17, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Azure cloud #Deployment #Terraform #Scripting #YAML (YAML Ain't Markup Language) #Azure #ML (Machine Learning) #Storage #AI (Artificial Intelligence) #Azure Data Factory #Cloud #Docker #Security #Azure DevOps #Python #Automation #IAM (Identity and Access Management) #Logging #Disaster Recovery #Model Deployment #Vault #API (Application Programming Interface) #Bash #Kubernetes #Infrastructure as Code (IaC) #ADF (Azure Data Factory) #DevOps #Monitoring #Scala
Role description
Job Title: Azure DevOps Architect
Location: - Dallas, TX(Onsite)
Duration: 6+ Months
Note: Need only USC and GC
Job Description:
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: Azure DevOps Architect
Location: - Dallas, TX(Onsite)
Duration: 6+ Months
Note: Need only USC and GC
Job Description:
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
