UCLA Health
Analytics Principal Cloud Architect and Engineer
UCLA Health, Los Angeles, California, United States, 90189
Job Posting
Work Location: Los Angeles, CA, USA Onsite or Remote Flexible Hybrid Work Schedule: Monday-Friday, 8:00 am - 5:00 pm PST Salary Range: $124600 - 289400 Annually Employment Type: 2 - Staff: Career Duration: Indefinite Primary Duties And Responsibilities
Press space or enter keys to toggle section visibility Job Qualifications Bachelor of Computer Science or Equivalent (Engineering, Mathematics, IT) with relevant experience 15+ years of strong enterprise technology experience in both hands-on architecture and leadership roles 10+ years of experience (both on-premises and Cloud) designing, implementing, deploying and managing enterprise infrastructure, data management, software development, meeting security and regulatory requirements and data center build and operations 7+ years of experience with security architecture, designing systems to mitigate cybersecurity threats, and preferably providing security-specific outreach or training to infrastructure and development groups 7+ years of experience in a healthcare provider organization, with at least 5 years in an Academic Medical Center, preferably with exposure to projects related to delivery of care, hospital operations, billing operations, inter-organizational interfaces, custom integration with EMR systems, and analytics 5+ years of experience in software architecture, design, and development utilizing the Microsoft .Net platform Demonstrated, hands on experience leading at least two significant enterprise (Azure and AWS) cloud deployment AWS/Azure Certified Azure Cloud Engineer, Architect, and Administrator certifications are required. Working knowledge of DevOps principles and practices, or experience in a real-time operational role. Experience with automation processes using tools like Terraform, Chef, Puppet, Jenkins, Azure DevOps, or AWS CloudFormation. Experience with containerization technologies like Docker and orchestration tools like Kubernetes for efficient application deployment and management. Solid foundation in data analytics, ML, and AI principles.
Work Location: Los Angeles, CA, USA Onsite or Remote Flexible Hybrid Work Schedule: Monday-Friday, 8:00 am - 5:00 pm PST Salary Range: $124600 - 289400 Annually Employment Type: 2 - Staff: Career Duration: Indefinite Primary Duties And Responsibilities
Press space or enter keys to toggle section visibility Job Qualifications Bachelor of Computer Science or Equivalent (Engineering, Mathematics, IT) with relevant experience 15+ years of strong enterprise technology experience in both hands-on architecture and leadership roles 10+ years of experience (both on-premises and Cloud) designing, implementing, deploying and managing enterprise infrastructure, data management, software development, meeting security and regulatory requirements and data center build and operations 7+ years of experience with security architecture, designing systems to mitigate cybersecurity threats, and preferably providing security-specific outreach or training to infrastructure and development groups 7+ years of experience in a healthcare provider organization, with at least 5 years in an Academic Medical Center, preferably with exposure to projects related to delivery of care, hospital operations, billing operations, inter-organizational interfaces, custom integration with EMR systems, and analytics 5+ years of experience in software architecture, design, and development utilizing the Microsoft .Net platform Demonstrated, hands on experience leading at least two significant enterprise (Azure and AWS) cloud deployment AWS/Azure Certified Azure Cloud Engineer, Architect, and Administrator certifications are required. Working knowledge of DevOps principles and practices, or experience in a real-time operational role. Experience with automation processes using tools like Terraform, Chef, Puppet, Jenkins, Azure DevOps, or AWS CloudFormation. Experience with containerization technologies like Docker and orchestration tools like Kubernetes for efficient application deployment and management. Solid foundation in data analytics, ML, and AI principles.