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About the Role
Description
The Cloud Engineer will design, build, and operate infrastructure and applications supporting UCLA Health's Analytics Platform across both on-premises and multi-cloud environments (AWS, Azure, GCP).
This role focuses on enabling secure, scalable AI/ML and GenAI platforms, with an emphasis on automation, reliability, and compliance in a regulated healthcare setting.
Key Responsibilities
+ Design, implement, and manage cloud and hybrid infrastructure supporting analytics and AI/ML workloads
+ Build and operate MLOps capabilities, including:
+ Model training and inference platforms
+ Model and artifact management
+ CI/CD and deployment pipelines
+ Observability and monitoring solutions
+ Cost optimization controls
+ Develop and maintain automation and infrastructure-as-code (IaC) solutions for provisioning and configuration
+ Troubleshoot and resolve complex system and environment issues across cloud and on-prem platf...
The Cloud Engineer will design, build, and operate infrastructure and applications supporting UCLA Health's Analytics Platform across both on-premises and multi-cloud environments (AWS, Azure, GCP).
This role focuses on enabling secure, scalable AI/ML and GenAI platforms, with an emphasis on automation, reliability, and compliance in a regulated healthcare setting.
Key Responsibilities
+ Design, implement, and manage cloud and hybrid infrastructure supporting analytics and AI/ML workloads
+ Build and operate MLOps capabilities, including:
+ Model training and inference platforms
+ Model and artifact management
+ CI/CD and deployment pipelines
+ Observability and monitoring solutions
+ Cost optimization controls
+ Develop and maintain automation and infrastructure-as-code (IaC) solutions for provisioning and configuration
+ Troubleshoot and resolve complex system and environment issues across cloud and on-prem platf...
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