Senior Terraform Engineer (HandsOn) – Azure Platform, AIML & GenAI

Job Description: Senior Terraform Engineer (Hands On) Azure Platform AI/ML & GenAI
Work Authorization: GC & USC only
Interview Mode: Face to Face (Dallas Charlotte Concord San Francisco Phoenix)
Work Location: Dallas or Charlotte (Charlotte preferred)
Work Model: Hybrid - 3 days onsite mandatory

Role Summary

We are hiring a hands on Senior Terraform Engineer who combines deep technical build expertise with strong stakeholder leadership. You will work independently with Application Leads to understand workload needs and provision end to end infrastructure via Terraform across Azure (and selectively multi cloud). This is not an advisory role-you design build and ship: databases AI/ML platforms network security/IAM and supporting cloud services-at enterprise scale.

Key Responsibilities

Hands On IaC Delivery (Terraform)

• Design implement and maintain Terraform for Azure resources including compute storage databases (SQL/NoSQL/data platforms) networking (VNETs Private Endpoints Firewalls LB) IAM/Security (AAD RBAC Key Vault Policies).
• Provision AI/ML & GenAI services (Azure ML Azure OpenAI AI Studio AKS Databricks) to support training deployment and scalable inference.
• Build reusable Terraform modules enforce standards (naming tagging policy) and manage remote state workspaces drift detection and automated validations.

Partner Directly with Application Leads

• Engage 1:1 with Application Leads to translate requirements into concrete Terraform plans delivery timelines and acceptance criteria.
• Lead technical working sessions unblock dependencies and own E2E provisioning through lower higher environments (dev/test/stage/prod).
• Communicate progress risks and cutover plans to engineering managers and product owners-clear concise action oriented.

CI/CD MLOps & Operability

• Integrate IaC with Azure DevOps/GitHub Actions (pipelines approvals policy gates).
• Implement MLOps/LLMOps hooks (registries endpoints monitoring logging/alerts via Azure Monitor/MLflow/Prometheus).
• Optimize for performance cost reliability and resiliency; support on call/incident response for critical platforms.

Security Compliance & Networking

• Enforce least privilege IAM private networking encryption secrets management and guardrails aligned to enterprise controls.
• Support DR/BCP data sovereignty patterns; produce change records and infra docs for audit readiness.

Multi Cloud Interop (Azure Primary)

• Where required integrate with AWS/GCP for identity federation networking and data/AI service interoperability using Terraform providers and standardized modules.

Required Qualifications

• Bachelors/Masters in CS/Engineering or equivalent experience.
• 8 years in Cloud/DevOps/Platform roles; 5 years hands on Terraform in Azure (AzureRM provider modules backends workspaces).
• Proven delivery of end to end provisioning: DB Cloud core AI/ML services Network IAM/Security using Terraform.
• Practical experience with Azure ML AKS Databricks Azure OpenAI/AI Studio for production AI/ML and GenAI workloads.
• Strong skills in Kubernetes (AKS) Docker Helm and infrastructure patterns for model training/serving.
• Scripting automation with Python/PowerShell/Bash; Git based workflows code reviews and pipeline governance.
• Stakeholder leadership: able to operate independently with Application Leads drive decisions and land outcomes under deadlines.
• Excellent written/verbal communication tailored to engineers and managers.

Preferred Qualifications

• Certifications: Azure DevOps Engineer Expert Azure AI Engineer Associate HashiCorp Terraform Associate.
• Experience with Bicep/ARM/Pulumi Kubeflow/MLflow/Azure ML Pipelines cost optimization for AI/ML.

Background in regulated enterprises (finance/healthcare) with policy as code and audit needs.