Experience Requirements:

• At least 3 years of overall DevOps experience

• 2+ years with GCP, Microsoft Azure, or AWS

• 2+ years with Docker in production environments

• 2+ years of Linux system administration and shell scripting

• 2+ years deploying Python applications to production

Other Requirements:

• Solid understanding of networking fundamentals and firewall configurations

• 2+ years working with Git

• Independent problem-solving skills

• Ability to research unfamiliar technologies and figure out how to make them work in production

Responsibilities:

• Design and implement deployment pipelines for Python Ray projects across cloud and on-premises

• Build and maintain infrastructure for local air-gapped and regulated deployments

• Develop containerized solutions optimized for local deployment scenarios

• Research and deploy confidential computing technologies