Senior Cloud Engineer: Multi-Cloud AI/ML & MLOps

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

Job summary

UCLA Health is seeking a Cloud Engineer to design, build, and operate infrastructure for its Analytics Platform. The role focuses on cloud environments such as AWS, Azure, and GCP, emphasizing automation and compliance.

The ideal candidate will have extensive experience in cloud engineering and platform operations, along with a strong collaborative spirit to work with cross-functional teams. This position offers competitive salary and generous benefits.

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 and manage cloud infrastructure for analytics and AI/ML workloads.
• Build MLOps capabilities including model training and deployment.
• Collaborate with teams to gather requirements and test solutions.

Skills

Cloud engineering

AWS

Azure

GCP

Automation

MLOps

Education

BS/MS in Computer Science or equivalent

Tools

Terraform

Azure DevOps

GitHub Actions

Job description

UCLA Health is seeking a Cloud Engineer to design, build, and operate infrastructure for its Analytics Platform. The role focuses on cloud environments such as AWS, Azure, and GCP, emphasizing automation and compliance.

The ideal candidate will have extensive experience in cloud engineering and platform operations, along with a strong collaborative spirit to work with cross-functional teams. This position offers competitive salary and generous benefits.