Cloud Platform Engineer for AI/ML & MLOps (Multi-Cloud)

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

Job summary

The University of California - Los Angeles Health is seeking a Cloud Engineer to design, manage, and optimize cloud infrastructure for its Analytics Platform. This role will support AI/ML workloads and require strong expertise in multi-cloud environments such as AWS, Azure, and GCP.

Candidates should have considerable experience in automation, scripting, and infrastructure-as-code, alongside relevant certifications. The position offers an annual salary range between $128,500 and $298,100 and involves a commitment to secure, scalable system operations in healthcare.

Qualifications

• 7+ years as an AWS Cloud Engineer with core services.
• 15+ years in supporting Microsoft technologies.
• Hands-on experience with analytics and AI/ML services.

Responsibilities

• Design and manage cloud infrastructure for analytics.
• Build MLOps capabilities including CI/CD pipelines.
• Develop automation and IaC solutions.

Skills

Cloud engineering

Platform operations

Automation

Scripting

Infrastructure-as-code

CI/CD pipeline development

Monitoring tools

AI/ML workloads

Education

BS/MS in Computer Science or equivalent

AWS Certified Cloud Engineer and Administrator Certifications

Tools

AWS

Azure

Google Cloud Platform (GCP)

Terraform

Azure DevOps

Job description

The University of California - Los Angeles Health is seeking a Cloud Engineer to design, manage, and optimize cloud infrastructure for its Analytics Platform. This role will support AI/ML workloads and require strong expertise in multi-cloud environments such as AWS, Azure, and GCP.

Candidates should have considerable experience in automation, scripting, and infrastructure-as-code, alongside relevant certifications. The position offers an annual salary range between $128,500 and $298,100 and involves a commitment to secure, scalable system operations in healthcare.