Lead Azure Infrastructure Engineer

Trinity Technology Solutions
San Francisco, CA, United States
2 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+12 more
Search Technologies System Availability Delivery Pipeline Snowflake Firewalls (Computer Science) AI Platforms Bicep Terraform AIOps Container Apps Key Vault Databricks

Job 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.

Requirements

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.

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