Site Reliability Engineer (Top Secret Clearance)

Responsibilities

• Develop automation to deploy and manage compute resources both on-premises and in the cloud
• Build, maintain, and scale on-premises hardware systems designed to host GPU-accelerated machine learning workloads
• Deploy and manage core infrastructure such as databases, monitoring and storage
• Closely collaborate with software 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

BASIC QUALIFICATIONS

• Bachelor’s degree in computer science, information systems/IT, or an engineering discipline; OR 2+ years of professional experience in software, DevOps, or site reliability engineering in lieu of a degree
• 1+ year of experience with Kubernetes
• 1+ year of experience with Linux operating systems
• Experience in Bash, Python, and/or other scripting languages
• Experience building, maintaining, and scaling on-premises and/or cloud systems designed

PREFERRED SKILLS AND EXPERIENCE

• Active Top Secret, Top Secret SCI, or DOE Level Q clearance is highly desired
• Experience hosting and pushing the state of the art in inferential model benchmarks
• Experience with systems administration, site reliability engineering, or DevOps engineering
• Experience with Python and Python-based development frameworks
• Experience with virtualization and hypervisor technologies
• Experience with automatically managing dozens or hundreds of servers
• Knowledge of performance bottlenecks and performance improvement techniques
• Excellent communications skills with the ability to communicate with customers, peers, management etc. in both formal and informal situations
• Ability to quickly learn new tools and frameworks.