Platform Engineer

Position Summary Base-2 Solutions is seeking a Platform Engineer to design, develop, and optimize Kubernetes platforms supporting enterprise artificial intelligence capabilities for mission customers. The role requires deep expertise in operating systems, hardware, GPUs, and high-speed networking and is performed 100% on-site at the customer site in Bethesda, Maryland, at the Intelligence Community Campus. Essential Duties and Responsibilities Design, configure, and maintain enterprise Kubernetes platforms and collaborate with multidisciplinary teams to optimize Kubernetes architecture for performance, efficiency, and feature requirements. Develop and manage Infrastructure as Code using tools such as Terraform, Salt, Ansible, Bash, Python, or similar frameworks. Collaborate with development teams to design and implement secure, automated, and repeatable CI/CD pipelines, including GitLab CI/CD. Troubleshoot complex systems issues across cloud, network, and platform layers. Maintain technical documentation, architectural specifications, and Linux best practices; support Authority to Operate activities and compliance with federal security standards. Required Qualifications Platform Engineering or Systems Engineering experience meeting an applicable education and experience pathway in the equivalency section. Strong expertise with Linux distributions, including RHEL, Ubuntu, Oracle Linux, and Rocky Linux. Experience administering Kubernetes clusters, including deploying, scaling, and maintaining containerized workloads. Hands-on experience creating, managing, and troubleshooting Docker containers and container images throughout the software development lifecycle. Experience with Kubernetes cluster management and AI/ML workflow orchestration, including Argo, Airflow, and Kubeflow. Experience consuming and troubleshooting RESTful APIs for platform integration and automation. Excellent problem-solving skills and the ability to collaborate within a team. U.S. citizenship. Preferred Qualifications Experience managing NVIDIA GPU data center platforms, including DGX, HGX, H200, H100, 200, B300, and L40S. Experience with NVIDIA enterprise tools such as Base Command Manager, Run:AI, and NVIDIA AI Enterprise. Knowledge of enterprise server components, including storage and network controllers, HBAs, and SSDs. Familiarity with GPU virtualization and cloud computing. Experience developing and deploying infrastructure in AWS. Knowledge of distributed resource scheduling systems such as Slurm, LSF, and Open MPI. Required Education and Experience Equivalency Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field with 5+ years in Platform Engineering or Systems Engineering experience. Additional years of Platform Engineering or Systems Engineering experience in lieu of a degree. Required Certifications Candidates must, at a minimum, meet DoD 8570.11 IAT Level II certification requirements, currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP, along with an appropriate computing environment (CE) certification. An IAT Level III certification would also be acceptable, including CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, or CCSP. Required Security Clearance Active Top Secret/SCI #J-18808-Ljbffr RPMGlobal