Site Reliability Engineer - AI Infrastructure - Starshield

## RESPONSIBILITIES: - Manage GPU/CPU infrastructure deployments to Top Secret data centers - Manage and provide support for GPU as a service for external customers on bare metal hardware and virtualized platforms - Design, validate, and productize solutions for AI clusters (100k+ GPU scale) - Develop automation to deploy and manage on-premise Kubernetes\AI clusters, and operating systems - Deploy and manage core infrastructure such as databases, monitoring and distributed storage - Closely collaborate with AI engineers to create highly scalable, operable, and maintainable products - Engage in and improve the whole lifecycle of services -- from inception and design, through deployment, operation and refinement - Monitoring and alerting supporting systems to have high availability - Identify areas for improvement and create innovative solutions that enable high system availability ## BASIC QUALIFICATIONS: - Bachelor’s degree in computer science, information systems/IT, or an engineering discipline and 1+ years of professional experience in site reliability engineering or DevOps; OR 3+ years of professional experience in site reliability engineering or DevOps in lieu of a degree - 1+ years of professional experience with Linux operating systems - Experience with Terraform, Ansible, or other infrastructure tools - Experience with containerization technologies (i.e. OCI containers, Kubernetes) - Experience scripting in Bash, Python, or other similar languages - Development experience in Python, C++, or Go