Description:

• Develop automation to deploy and manage compute resources across on-premises and cloud environments.
• Build, maintain, and scale on-premises hardware systems for GPU-accelerated machine learning workloads.
• Deploy and manage core infrastructure services such as databases, monitoring, and storage.
• Collaborate closely with software engineers to create scalable, operable, and maintainable products.
• Own the full lifecycle of services from inception and design through deployment, operation, and refinement.
• Provide development, testing, and operational support for the systems created by the team.

Requirements:

• 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 with Bash, Python, and/or other scripting languages.
• Experience building, maintaining, and scaling on-premises and/or cloud systems.
• Active Top Secret, Top Secret SCI, or DOE Level Q clearance is highly desired.
• Experience hosting and advancing inferential model benchmarks is preferred.
• Experience with systems administration, site reliability engineering, or DevOps engineering is preferred.
• Experience with Python and Python-based development frameworks is preferred.
• Experience with virtualization and hypervisor technologies is preferred.
• Experience managing dozens or hundreds of servers automatically is preferred.
• Knowledge of performance bottlenecks and performance improvement techniques is preferred.
• Excellent communication skills and the ability to communicate with customers, peers, and management in formal and informal settings is preferred.
• Ability to quickly learn new tools and frameworks is preferred.
• Must be willing to work extended hours and weekends as needed.
• Must be a U.S. citizen, national, lawful permanent resident, refugee, asylee, or otherwise eligible under ITAR requirements.

Benefits:

• Pay range of $145,000 to $175,000 for Level 3.
• Potential 10% clearance differential, up to an additional $20,000 annually, once officially briefed into a classified program.
• Long-term incentives in the form of company stock or long-term cash awards.
• Potential discretionary bonuses.
• Employee Stock Purchase Plan with the ability to buy additional stock at a discount.
• Comprehensive medical, vision, and dental coverage.
• 401(k) retirement plan, short- and long-term disability insurance, and life insurance.
• Paid parental leave, approximately 3 weeks of paid vacation, and 10 or more paid holidays per year.