AI Platform Operations Manager (Azure)

Location: Denver, Colorado, United States. Full-time role with less than 10% travel. Must be eligible to work in the United States and pass comprehensive background and drug screening.

Salary: $128,260.00–$146,017.59 per year.

Company

hirify.global provides wholesale, colocation, and cloud data centers for hyperscale and enterprise companies, focusing on availability, security, connectivity, and physical resilience.

What you will do

• Build and maintain Azure infrastructure-as-code modules and reusable deployment patterns for AI platform services, including Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Cosmos DB, ADLS Gen2, and Databricks.
• Design and operate CI/CD pipelines for application code, infrastructure, containers, and AI agent deployments using Azure DevOps or GitHub Actions.
• Deploy and operate agentic AI services, MCP servers, RAG pipelines, and integration workloads on Azure Container Apps and AKS.
• Operate container platforms, including cluster upgrades, autoscaling, networking, workload isolation, GPU-backed workloads, and Azure Container Registry governance.
• Implement observability, dashboards, alerting, runbooks, incident response, and automated remediation for platform and AI services.
• Apply DevSecOps, governance, data residency, compliance, FinOps, and cost-optimization practices while partnering with AI, data, application, and security teams.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 5+ years of hands-on experience in DevOps, site reliability engineering, or platform engineering.
• Strong Infrastructure as Code experience with Terraform, Bicep, or ARM, including module design and state management.
• Experience building CI/CD pipelines, working with Docker and AKS, and operating Azure Container Apps or equivalent platforms.
• Working knowledge of Azure compute, networking, storage, Entra ID, Key Vault, monitoring, observability, Git workflows, and artifact or registry management.
• Strong scripting and automation skills in Python, PowerShell, or Bash, with proven production troubleshooting experience.

Nice to have

• Microsoft Azure DevOps, Azure Administrator, or Certified Kubernetes Administrator certification.
• Experience operating AI/ML workloads, model endpoints, RAG pipelines, vector databases, agentic services, or MLOps platforms.
• Experience with MCP servers, Semantic Kernel, LangGraph, AutoGen, GPU provisioning, or inference cost optimization.
• Knowledge of FinOps and experience integrating enterprise systems such as Microsoft 365, Workday, NetSuite, or Procore.

Culture & Benefits

• Healthcare, dental, vision, life insurance, paid time off, and paid leave programs.
• 401(k), flexible spending accounts, and a cell phone subsidy.
• Peer-to-peer recognition and rewards programs.
• Company events, game nights, happy hours, and barbecues.