DescriptionThe 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.
