Description

Responsibilities

• Kubernetes Cluster Engineering: Design, configure, and maintain enterprise Kubernetes platforms. Collaborate with a multidisciplinary team to define and optimize Kubernetes architecture, ensuring they meet performance, efficiency, and feature requirements.
• Infrastructure as Code: Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, Salt, Ansible, Bash, Python or similar frameworks.
• Collaborate with development teams to design and implement secure, automated, and repeatable pipelines (e.g., GitLab CI/CD).
• Troubleshot complex systems issues across cloud, network, and platform layers.
• Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards.

Basic Qualifications

• Requires a Bachelor’s degree and 10+ years of relevant experience, or Masters degree with 8+ years of experience.  Additional years of experience may be considered in lieu of a degree
• 5+ years in Platform Engineering or System Engineering experience.
• Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle Linux, and Rocky).
• 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 (Argo, Airflow, and Kubeflow).
• Strong track record with consuming, and troubleshooting RESTful APIs for platform integration and automation.
• Excellent problem-solving skills and the ability to collaborate within a team.
• Candidate 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 (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).

• TS/SCI with CI Poly is required for position or a TS/SCI and willingness to obtain a Poly.

Preferred Qualifications

• Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, 200, B300, L40S).
• Experience with NVIDIA enterprise tools such as Base Command Manager, Run:AI, Nvidia AI Enterprise.
• Knowledge of enterprise server components (storage/network controllers, HBA, SSDs).
• Familiarity with GPU virtualization and cloud computing.
• Experience developing and deploying infrastructure in AWS.
• Knowledge of distributed resource scheduling systems. (Slurm , LSF, Open MPI,etc.)

Key Skills

Education

Bachelor's or Master's degrees