> Markdown version of [/jobs/ext/4662068-lead-azure-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/4662068-lead-azure-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Azure Infrastructure Engineer

- **Company:** Trinity Technology Solutions
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Disaster Recovery, Domain Name System (DNS), Github, Network Security, Log Analysis, Role-Based Access Control, OpenAI, Azure Machine Learning, Search Technologies, System Availability, Delivery Pipeline, Snowflake, Firewalls (Computer Science), AI Platforms, Bicep, Terraform, AIOps, Container Apps, Key Vault, Databricks
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/3167ee37-e2e3-4252-9d43-6d9c76ad7410

## About the Role

Key Skills: Cloud infrastructure/Platform engineering, Networking & Security, and Azure AI Services.

Nice to Have Skills: Azure certifications, SRE agent / AIOps, and integration with Fabric, Databricks, or Snowflake., * 12+ years in cloud infrastructure or platform engineering, with 5+ years on Azure.

 * 2+ years leading an Ops, SRE, or platform team, ideally across onshore and offshore.
 * Azure networking and security: VNets, private endpoints, DNS, firewalls and network security groups, Entra ID / managed identities, RBAC and Key Vault.
 * Infrastructure-as-code (Terraform or Bicep) and CI/CD (Azure DevOps or GitHub Actions).
 * Containers and compute: AKS, App Service or Container Apps, Functions.
 * Experience hosting and operating Azure AI services: Azure OpenAI / AI Foundry, AI Search, model deployments, quotas and throttling.
 * Observability: Azure Monitor, Log Analytics, App Insights. Experience with an SRE agent or AIOps is a plus.

## Description

* Lead the Ops/SRE team. Set priorities, assign work, coach engineers, and run the daily onshore/offshore hand-off.
 * Set up and manage the Azure infrastructure for AI services: networking, identity, security and compute.
 * Build and maintain infrastructure-as-code and deployment pipelines for consistent Dev, QA and Prod environments.
 * Own platform reliability: monitoring, alerting, capacity and quota planning, cost control, and disaster recovery.
 * Own the operating model: incident and problem management, root cause analysis, SLAs, runbooks and SOPs.
 * Act as the onsite technical contact for major incidents, security and architecture reviews, and IT and vendor coordination.