Kubernetes Platform Engineer - AI Infra (On-Site, TS/SCI)

Talentify

Bethesda (MD)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Base-2 Solutions seeks a Platform Engineer to design and optimize Kubernetes platforms enabling enterprise AI at mission customers. The role requires OS, hardware, GPU, and high-speed networking expertise and is performed 100% on-site in Bethesda, MD, at the Intelligence Community Campus.

The candidate will implement IaC, CI/CD pipelines, and secure operating practices, ensuring compliance with federal security standards and documenting architecture.

Qualifications

  • Bachelor's degree or higher in Computer Science, Electrical Engineering, or related field with 5+ years in Platform or Systems Engineering.
  • Experience with Linux distributions (RHEL, Ubuntu, Oracle Linux, Rocky Linux).
  • Experience administering Kubernetes clusters (deploying, scaling, maintaining).
  • Hands-on with Docker containers and images through the SDLC.
  • Experience with Kubernetes AI/ML workflow orchestration (Argo, Airflow, Kubeflow).
  • Experience consuming/troubleshooting RESTful APIs for integration/automation.
  • U.S. citizenship and DoD 8570 compliant certifications.
  • IAT Level II or III certifications (e.g., Security+ CE, CCNA-Security, CISSP, CASP+)

Responsibilities

  • Design, configure, and maintain enterprise Kubernetes platforms for performance and features.
  • Develop and manage infrastructure as code with Terraform, Salt, Ansible, Bash, Python.
  • Collaborate on secure CI/CD pipelines including GitLab CI/CD.
  • Troubleshoot complex systems across cloud, network, and platform layers.
  • Document architectures and support Authority to Operate with federal security standards.

Skills

Linux
Kubernetes
Docker
Argo/Airflow/Kubeflow
REST APIs
US Citizenship
CI/CD

Education

Bachelor's degree or higher in CS/EE

Tools

Terraform
Salt
Ansible
Bash
Python

Job description

Base-2 Solutions seeks a Platform Engineer to design and optimize Kubernetes platforms enabling enterprise AI at mission customers. The role requires OS, hardware, GPU, and high-speed networking expertise and is performed 100% on-site in Bethesda, MD, at the Intelligence Community Campus.

The candidate will implement IaC, CI/CD pipelines, and secure operating practices, ensuring compliance with federal security standards and documenting architecture.

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