Platform Engineer, AI/ML Infra & Kubernetes

General Dynamics Information Technology

Arlington (VA)

On-site

USD 150,000 - 210,000

Full time

5 days ago
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Job summary

IronEagleX seeks a SME Platform Engineer to design, implement, and manage secure on-premises cloud infrastructure in Crystal City, VA. You will orchestrate Kubernetes-based compute clusters for AI/ML workloads, ensuring secure, scalable data science environments and robust CI/CD pipelines.

The role emphasizes GitOps practices, Keycloak/OPA-based identity, FIPS compliance, and deep Linux administration to support high-performance, compliant systems for government-focused data science initiatives.

Qualifications

  • 15+ years of related experience in platform engineering or similar roles.
  • Proven design, deployment and troubleshooting of production Kubernetes environments.
  • Strong Linux system administration and CLI proficiency.
  • Experience implementing authentication and authorization using Keycloak/OPA/OIDC.
  • Hands-on with Git-based workflows, Helm, CI/CD and GitOps.
  • Experience hosting data science/AI platforms (Posit Workbench/Connect, Hive Metastore).
  • FIPS/compliance-focused security experience for regulated environments.

Responsibilities

  • Architect, deploy, and manage on-premises cloud infrastructure using RKE2.
  • Host and maintain data science environments and AI/ML infra (GPU, Ray, vLLM).
  • Build and optimize CI/CD pipelines with Git, Helm, ArgoCD.
  • Ensure security and compliance across environments, including vulnerability management.
  • Manage identity and access with Keycloak/OPA and secure registries (Harbor, Docker Hub).
  • Troubleshoot issues via CLI and maintain containerized workloads end-to-end.

Skills

Kubernetes management
RKE2
Linux administration
GitOps
ArgoCD
Security & Compliance (FIPS)
Identity & Access (Keycloak/OPA)
CI/CD pipelines
GPU/AI infra
Posit Workbench/Connect
Container registries (Harbor, Docker)

Education

Bachelor’s degree in Computer Science or related field

Tools

Longhorn
Posit Workbench
Hive Metastore
Harbor
Docker Hub
Containeryard

Job description

IronEagleX seeks a SME Platform Engineer to design, implement, and manage secure on-premises cloud infrastructure in Crystal City, VA. You will orchestrate Kubernetes-based compute clusters for AI/ML workloads, ensuring secure, scalable data science environments and robust CI/CD pipelines.

The role emphasizes GitOps practices, Keycloak/OPA-based identity, FIPS compliance, and deep Linux administration to support high-performance, compliant systems for government-focused data science initiatives.

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