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. #J-18808-Ljbffr