University of California - Los Angeles, CA

posted 23 days ago

Full-time - Mid Level
Remote - Los Angeles, CA
Educational Services

About the position

The Analytics DevOps Engineer at UCLA Health will be part of the Solutions Architecture and Engineering's High-Performance Computing (SAE-HPC) Team, focusing on the development and optimization of HPC clusters and self-service platforms for research and clinical environments. This role emphasizes service reliability, performance, efficiency, and security, and is ideal for professionals with a background in web development and cloud infrastructure.

Responsibilities

  • Contribute to the design, management, optimization, and automation of HPC clusters.
  • Collaborate with senior team members on projects and independently handle smaller tasks.
  • Drive the development and optimization of research and clinical environments.
  • Ensure service reliability, performance, efficiency, and security of HPC clusters.

Requirements

  • BS/MS in Computer Science, Information Technology, or a related field (or equivalent experience).
  • 2-4 years of development experience using languages like Python, Java, C++, JSON, Node.js, Ruby, and relevant scripting languages.
  • Working knowledge of DevOps principles and practices.
  • Experience with software development principles and version control systems like GitHub.
  • Proven ability to automate processes using tools like Terraform, Chef, Puppet, Jenkins, Azure DevOps, or AWS CloudFormation.
  • Experience with containerization technologies like Docker and orchestration tools like Kubernetes.

Nice-to-haves

  • Knowledge of high-performance computing environments.

Benefits

  • Flexible hybrid work environment allowing for a blend of remote and on-site work.
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