Senior Platform Engineer — AI/ML Kubernetes & Infra

Maxisiq; Bethesda (AR); On-site; USD 180,000 - 260,000; Full time

Job summary

Vexterra Group in Bethesda, MD seeks a platform engineer with deep OS, hardware, GPU, and networking expertise to design and optimize Kubernetes clusters powering enterprise AI for mission customers. You will implement IaC, secure pipelines, and maintain documentation while ensuring compliance with federal standards.

Preferred candidates have DoD 8570 IAT certifications, experience with NVIDIA GPU data centers, and AWS infrastructure.

Qualifications

• Bachelor’s degree with extensive relevant experience or higher degree and matching years.
• 5+ years in Platform/Systems Engineering.
• Strong Linux and Kubernetes administration experience.
• Experience with Docker containers across SDLC.
• AI/ML workflow orchestration experience (Argo, Airflow, Kubeflow) is a plus.
• Must meet DoD 8570.11-IAT Level II certification requirements; higher certs acceptable.

Responsibilities

• Design, configure, and maintain enterprise Kubernetes platforms.
• Develop and manage IaC using Terraform, Salt, Ansible, Bash, and Python.
• Collaborate to design secure, automated CI/CD pipelines.
• Troubleshoot complex issues across cloud, network, and platform layers.
• Maintain technical docs and ensure compliance with federal standards.

Skills

Linux

Kubernetes

Docker

AI/ML workflows

REST APIs

IAT II/III certs

Security Clearance

IaC (Terraform/Salt/Ansible)

CI/CD pipelines

NVIDIA GPU data centers

GPU tooling (Base Command, Run:AI)

Cloud networking

Education

Bachelor’s degree

Tools

Terraform

Salt

Ansible

Bash

Python

GitLab CI/CD

Job description

Vexterra Group in Bethesda, MD seeks a platform engineer with deep OS, hardware, GPU, and networking expertise to design and optimize Kubernetes clusters powering enterprise AI for mission customers. You will implement IaC, secure pipelines, and maintain documentation while ensuring compliance with federal standards.

Preferred candidates have DoD 8570 IAT certifications, experience with NVIDIA GPU data centers, and AWS infrastructure.