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Job Description
Position :
Cloud Infrastructure and Automation Engineer Location:
Dallas, TX Must-have Qualifications 7+ years of cloud infrastructure/DevOps experience with at least 2 years supporting AI/ML, automation, or data platform workloads at scale.
Expert-level Azure skills:
Databricks, Cosmos DB, Azure Functions, Logic Apps, ADLS Gen2, Azure AI Search, Azure OpenAI Service, Container Apps/AKS, and Azure Monitor.
Strong IaC proficiency:
Terraform (modules, state, workspaces), Bicep, or ARM templates with environment-templated patterns.
Hands-on CI/CD engineering:
Azure DevOps, GitHub Actions, container registries, Helm charts, and blue/green/canary deployment automation. Solid Python and Bash skills for infrastructure tooling, automation scripts, and deployment utilities. Deep understanding of Azure networking, security (RBAC, managed identities, Key Vault, Private Endpoints, Azure Policy), and cost management. Experience with containerization (Docker) and orchestration (AKS or Container Apps) for production workload and model serving.
Familiarity with AI platform infrastructure:
Databricks provisioning, Cosmos DB scaling, AI Search management, and LLM endpoint deployment. Preferred Qualifications Experience deploying RAG platform infrastructure, vector search clusters, and LLM/SLM serving endpoints in production.
Hands-on MLOps:
model registries, experiment tracking, automated deployment pipelines, and A/B testing infrastructure. Background in enterprise IT environments with M365, Intune, and Entra ID.
Azure certifications:
AZ-104, AZ-400, AZ-305.
FinOps certification or demonstrated cloud cost optimization experience delivering measurable savings. Experience supporting global operations across AMER, EMEA, and APAC with high-availability requirements