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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