Systems and Platform Engineer - TS/SCI
VMD Corp · Bethesda, MD · 1 mo ago
HybridFull-time
About the Role
Systems and Platform Engineer – TS/SCI Xcelerate Solutions is looking for a highly skilled platform engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize Kubernetes clusters that power enterprise AI for the mission customers. Location: Bethesda, MD. Security Clearance: TS/SCI.
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).
- Troubleshoot 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.
Minimum Requirements
- US Citizenship is required.
- TS/SCI with CI Poly is required for position or a TS/SCI and willingness to obtain a Poly.
- 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.
- Must meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP