Terraform Engineer - Azure-Centric

Dallas, United States | Posted on 02/02/2026

We are seeking a highly skilled Senior Terraform Engineer with deep expertise in Azure services to join our Enterprise AI Platform team
. This role is Azure-centric
, with a strong emphasis on deploying Machine Learning (ML) and Generative AI (GenAI) models in scalable, secure, enterprise environments
.

The ideal candidate will have hands‑on experience with multi‑cloud architectures
, Infrastructure as Code (IaC) best practices
, and a strong foundation in ML workflows, enterprise AI platforms, and cloud‑based ML services
. You will play a key role in automating infrastructure provisioning, integrating AI/ML pipelines, and optimizing deployments for performance, cost, security, and compliance across a multi‑cloud landscape.

This position requires a proactive engineer who can bridge Dev Ops and MLOps
, leveraging Terraform to support high‑impact AI initiatives. If you thrive in fast‑paced environments and are passionate about building robust, automated cloud infrastructures for AI at scale, this role offers a unique opportunity to drive innovation.

Design, implement, and maintain Infrastructure as Code (IaC) solutions using Terraform to provision and manage Azure resources, including:

• Related services supporting ML and GenAI model deployment
• Develop and enforce IaC best practices
  , including automated policy and security testing using tools such as Terragrunt and Checkov

• Deploy and orchestrate ML and GenAI models on enterprise ML platforms
• Enable end‑to‑end automation across the ML lifecycle, from model training through inference
• Integrate AI/ML workflows with CI/CD pipelines (Azure Dev Ops, Git Hub Actions)
• Collaborate with data scientists, ML engineers, and cross‑functional teams to design multi‑cloud architectures
  , with Azure as the primary platform and AWS/Google Cloud Platform integrations
• Support hybrid deployments
  , data sovereignty requirements
  , and disaster recovery strategies
• Implement cross‑cloud networking, identity federation, and resource orchestration
• Optimize cloud infrastructure for AI/ML workloads, including compute clusters
• Ensure infrastructure meets enterprise security, availability, and compliance standards (e.g., GDPR, SOC
  2)

• Monitoring
• Alerting
• Leverage observability tools such as Azure Monitor
  , Prometheus
  , and MLflow to ensure reliable, production‑grade deployments

• Troubleshoot and resolve infrastructure issues in production AI environments
• Ensure high availability, scalability, and reliability of AI platforms
• Conduct code reviews, mentor junior engineers, and contribute to documentation for ML/GenAI‑specific IaC patterns
• Stay current with emerging Azure ML services
• Participate in on‑call rotations and incident response for critical AI infrastructure

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience)
• 5+ years of experience as a Cloud Engineer, Dev Ops Engineer, or similar role
• At least 3 years of hands‑on experience with Terraform for IaC in Azure environments
• Proven experience deploying ML and GenAI models using Azure ML
  , including managed endpoints and inference pipelines
• Strong hands‑on experience with multi‑cloud architectures (AWS and/or Google Cloud Platform preferred)
• In-depth understanding of Terraform concepts, including modules, variables and outputs, work spaces and backends
• Solid understanding of the machine learning lifecycle
• Experience with containerization and orchestration tools:
  Docker
• Proficiency in scripting languages such as Python, Power Shell, or Bash
• Familiarity with cloud security best practices for ML environments, including encryption, access controls, vulnerability scanning
• Strong problem‑solving skills and experience working in Agile teams

• Hashi Corp Certified:
  Terraform Associate
• Experience with additional IaC tools such as ARM Templates, Bicep, Pulumi (for hybrid Azure setups)
• Background in MLOps tooling
  , including MLflow
• Experience with cloud cost optimization for AI workloads using tools like Azure Cost Management
• Prior experience working in regulated industries (finance, healthcare, etc.) with compliance‑driven infrastructure requirements