AIPlatformEngineer

### AI Platform Engineer **Location:** McLean, VA (Onsite 5 Days per Week) **Employment Type:** Full-Time **Salary Range:** $125,000 - $185,000 **Clearance Required:** Active TS/SCI with Counterintelligence Polygraph **Certification Requirement:** Current IAM Level II certification meeting DoD 8570 IAT requirements ### Position Overview We are seeking an experienced AI Platform Engineer to play a critical role in building, maintaining, securing, and optimizing the infrastructure that supports advanced Artificial Intelligence (AI) workloads. This individual will be responsible for designing and managing scalable Kubernetes environments, implementing automated deployment pipelines, and ensuring platform reliability, security, and performance. The ideal candidate combines deep expertise in cloud-native technologies, Kubernetes administration, DevOps practices, and automation with strong problem-solving and collaboration skills. This role will work closely with engineering, operations, and security teams to deliver highly available AI platform solutions in a mission-critical environment. ### Key Responsibilities ### Kubernetes & Platform Engineering * Design, deploy, secure, maintain, and upgrade highly available Kubernetes clusters across cloud and on-premises environments. * Manage Kubernetes control plane components, worker nodes, and supporting infrastructure. * Implement and maintain containerized workloads using Docker and Kubernetes best practices. * Configure and manage Kubernetes resources including Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, Persistent Volumes, and Namespaces. * Support advanced networking configurations, including CNI plugins, network policies, service meshes, and DNS services. ### Security & Compliance * Implement security best practices across Kubernetes environments. * Manage RBAC, admission controllers, vulnerability scanning, secret management, and network security controls. * Ensure platform compliance with