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DevOps Architect
Laiba Technologies LLCDallas, TX🇺🇸United StatesPosted 27 Jul 2026
Quick Overview
Work Type
On Site
Level
Mid Senior
Job Description
Role: DevOps Architect
Location: Dallas, TX (Onsite)
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
Skills
Docker
Machine Learning
Azure
Bash
Kubernetes
PowerShell
Python
Terraform
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