Cloud Engineer

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 platforms
• Establish platform guardrails to ensure secure, reliable, and compliant operations
• Collaborate with cross-functional teams to:
  • Gather requirements
  • Design and prototype solutions
  • Implement and test deployments
  • Support ongoing operations and enhancements
• Apply security, privacy, and governance controls aligned with healthcare data regulations
• Execute release, deployment, and configuration management processes

What You’ll Bring

• Strong background in cloud engineering and platform operations
• Experience with multi-cloud environments (AWS, Azure, GCP)
• Proficiency in:
  • Automation, scripting, and infrastructure-as-code
  • CI/CD pipeline development and optimization
  • Monitoring and observability tools
• Experience supporting AI/ML or data platform workloads (preferred)
• Ability to troubleshoot complex systems and drive solutions independently
• Strong collaboration skills and the ability to translate business requirements into technical solutions

Salary Range: $128500 - $298100 annually.