Cloud Engineer

UCLA Outpatient Clinics; Los Angeles (CA); On-site; USD 128,500 - 298,100; Full time

Job summary

UCLA Outpatient Clinics is seeking a Cloud Engineer to design, build, and operate infrastructure for health analytics. The role emphasizes secure, scalable AI/ML platforms in cloud environments including AWS, Azure, and GCP.

Key responsibilities include managing cloud infrastructure and developing MLOps capabilities, as well as ensuring compliance with healthcare data regulations. With a salary range of $128,500 to $298,100 annually, this position offers significant growth opportunities.

Qualifications

• Strong background in cloud engineering and platform operations.
• Experience with multi-cloud environments (AWS, Azure, GCP).
• Proficiency in automation, scripting, and infrastructure-as-code.

Responsibilities

• Design, implement, and manage cloud and hybrid infrastructure.
• Build and operate MLOps capabilities including model training and inference platforms.
• Develop and maintain automation and IaC solutions.

Skills

Cloud engineering and platform operations

Multi-cloud environments (AWS, Azure, GCP)

Automation, scripting, and infrastructure-as-code

CI/CD pipeline development

Monitoring and observability tools

Troubleshooting complex systems

Collaboration and translating business requirements

Job description

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.