Senior Terraform Engineer (Hands‐On) - Azure Platform, AI/ML & 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 LeadsEngage 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 & OperabilityIntegrate 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 & NetworkingEnforce 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 QualificationsBachelor's/Master's 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 QualificationsCertifications: 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.