Platform Engineer

Platform Engineer

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