Senior Infrastructure Engineer - AI/ML Platform

📋 Description

• Build and operate the Kubernetes platform supporting AI test and evaluation frameworks
• Implement GPU scheduling, workload orchestration, resource management, and multi-tenant isolation
• Design infrastructure-as-code, GitOps workflows, and automated deployment pipelines that make the
• Develop reusable and modular infrastructure components that can be composed into independently
• Contribute to Nebari and other open-source Kubernetes, infrastructure, and MLOps projects used by
• Own platform reliability, including capacity planning, upgrade strategies, failure-mode analysis

🎯 Requirements

• U.S. citizenship and ability to obtain and maintain a Secret security clearance
• 6+ years of hands-on infrastructure, platform, DevOps, or site reliability engineering experience
• Strong understanding of infrastructure engineering principles, including scalability, reliability
• Production experience with Kubernetes, including workload scheduling, resource management, and
• Experience with automated security tooling, such as container scanning, SAST/DAST, artifact
• Proficiency with infrastructure-as-code tools such as Terraform, OpenTofu, Pulumi, or equivalent

🎁 Benefits

• Medical, Dental & Vision – 100% paid for employees, 75% for dependents
• 401(k) Match – Up to 5% with full vesting after 2 years
• Unlimited PTO – With a required minimum of 15 days off annually
• Fully Remote Setup – Includes up to $3,000 equipment reimbursement
• Continuous Education – Includes up to $500 reimbursement
• Disability & Life Insurance – 100% employer-paid