Senior Platform Engineer, AI/ML Infra & Kubernetes

General Dynamics Information Technology; Arlington (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

Iron EagleX is seeking a SME Platform Engineer in Crystal City, VA to lead on‑premises cloud infrastructure design, deployment, and management. You will orchestrate containerized apps, manage robust GPU and Ray compute environments, and enable AI/ML platforms while maintaining strict security and compliance.

The role emphasizes Kubernetes, RKE2, GitOps, Keycloak/OPA identity, and secure registries. You will collaborate with engineering and data science teams to enable scalable, secure data

Qualifications

• Demonstrated experience designing, deploying, administering, and troubleshooting production Kubernetes environments; hands-on experience with RKE2 or similar.
• Strong Linux systems administration skills, including diagnosing and troubleshooting infrastructure via CLI.
• Experience implementing authentication and authorization using Keycloak, OPA, OIDC, RBAC.
• Hands-on experience with Git-based workflows, Helm charts, CI/CD, and GitOps practices.
• Experience with Argo CD or similar GitOps tools for declarative delivery.
• Experience managing Kubernetes storage including Longhorn or similar.
• Experience hosting data science/analytics platforms such as Posit Workbench/Connect, Hive Metastore.
• Experience configuring systems to meet FIPS or other security/compliance requirements.
• Demonstrated experience identifying and remediating critical vulnerabilities.
• Experience administering GPU-enabled compute for AI/ML, HPC, or similar workloads.
• Experience supporting distributed AI/ML workloads with Ray or similar frameworks.
• Experience deploying large language model inference/serving technologies; vLLM routing preferred.
• Experience securing container images from Harbor, Docker Hub, or Container Yard.

Responsibilities

• Infrastructure & Orchestration: Architect, deploy, and manage on-premises cloud infrastructure using RKE2 and Longhorn/Object storage.
• Platform Enablement: Host and maintain robust data science environments (Posit Workbench/Connect, Hive Metastore).
• AI/ML Infrastructure: Manage GPU clusters, Ray clusters, and VLLM Routers for model training and inference.
• CI/CD & Automation: Build and optimize pipelines with Git, Helm, and ArgoCD for reliable delivery.
• Security & Compliance: Maintain FIPS compliance and mitigate vulnerabilities.
• Identity & Access: Implement authentication/authorization with Keycloak and OPA.
• System Administration: Manage container images from Harbor, Docker Hub, or Containeryard; troubleshoot via CLI.

Skills

Kubernetes

Linux

GitOps

Keycloak

OPA

ArgoCD

Terraform/Ansible

Python/Go/Bash

GPU/HPC

Security & Compliance

Tools

RKE2

Longhorn

Posit Workbench/Connect

Hive Metastore

Harbor/Docker Hub/Containeryard

Harbor

cGPU/Ray Clusters

Job description

Iron EagleX is seeking a SME Platform Engineer in Crystal City, VA to lead on‑premises cloud infrastructure design, deployment, and management. You will orchestrate containerized apps, manage robust GPU and Ray compute environments, and enable AI/ML platforms while maintaining strict security and compliance.

The role emphasizes Kubernetes, RKE2, GitOps, Keycloak/OPA identity, and secure registries. You will collaborate with engineering and data science teams to enable scalable, secure data