SME Platform Engineer

General Dynamics

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$191,250–$258,750 / yr
Posted
21 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $225k
$90k most similar roles pay here $277k

This role pays more than 85% of similar roles. Most pay $151,000–$213,200 — the shaded band above. At the midpoint, this role pays about $225k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1123 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 984 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · SME Platform Engineer

The SME Platform Engineer joins the Engineering team to lead the design, implementation, and management of secure, on-premises cloud infrastructure. This role focuses on building advanced computing environments, orchestrating containerized applications, and managing large-scale data science platforms. The engineer will manage GPU clusters for machine learning model fine-tuning, maintain Ray clusters, and oversee vLLM routers for inference. Key responsibilities include maintaining RKE2 systems, Longhorn storage, and Posit Workbench environments while ensuring FIPS compliance and mitigating system vulnerabilities. Technical requirements include expertise in Kubernetes, Linux server administration, GitOps methodologies, and CI/CD pipelines using Helm charts and ArgoCD. The role also involves managing identity through Keycloak and Open Policy Agent. This position provides the foundational infrastructure necessary for data science teams to perform advanced machine learning and high-performance computing tasks within a secure environment.

What you'll do

  • Architect, deploy, and manage on-premises cloud infrastructure using RKE2 and Longhorn storage solutions.
  • Manage and scale GPU clusters and Ray clusters for fine-tuning machine learning models.
  • Build and optimize CI/CD pipelines using Git, Helm charts, and ArgoCD for software delivery.
  • Ensure continuous FIPS compliance and mitigate high-level system vulnerabilities across the environment.
  • Implement authentication and authorization mechanisms using Keycloak and Open Policy Agent (OPA).
  • Manage container images from secure registries like Harbor and troubleshoot issues via command-line interfaces.
  • Host and maintain data science environments including Posit Workbench, Connect, and Hive Metastore.

What we're looking for

  • Must be a US citizen.
  • Must possess an active Top Secret/SCI clearance (willingness to obtain CI polygraph).
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 15+ years of related experience.
  • Experience designing, deploying, and troubleshooting production Kubernetes environments with RKE2 or similar.
  • Strong Linux systems administration skills using the command-line interface.
  • Experience with GitOps, CI/CD pipelines, Helm charts, and Argo CD.
  • TS/SCI Clearance with current or willingness to obtain CI polygraph.

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