SME Platform Engineer

General Dynamics

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Arlington, VACrystal City, VA
Salary: $191,250–$258,750 / yr
Posted: 67 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k

This role $225k

$86k $277k

below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $151,000–$201,600 — the blue band above. At the midpoint, this role pays about $225k versus about $176k 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 1377 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 1184 roles with salary data.

Most-posted roles

View all roles at General Dynamics

At a glance

TL;DR · SME Platform Engineer

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The SME Platform Engineer will join the Engineering team to lead the design, implementation, and management of secure, on-premises cloud infrastructure. This role involves architecting and managing robust compute clusters, specifically focusing on the orchestration of containerized applications and large-scale data science platforms. Key responsibilities include maintaining GPU and Ray clusters for machine learning model training, managing storage solutions like Longhorn, and building CI/CD pipelines using Git, Helm charts, and ArgoCD. The engineer must utilize Linux server administration, Kubernetes, RKE2, and Keycloak while ensuring FIPS compliance and vulnerability mitigation. The work provides the foundational infrastructure for AI model inference and deployment, specifically supporting data science teams in developing advanced analytics and machine learning capabilities within a secure, high-performance computing environment.

Skills

Kubernetes RKE2 GitOps CI/CD Linux Python Go Bash ArgoCD Helm Terraform Ansible Keycloak Open Policy Agent Prometheus Grafana Ray vLLM Longhorn Hive Metastore Posit Workbench Posit Connect Harbor Docker Hub FIPS

What you'll do

Architect, deploy, and manage on-premises cloud infrastructure using RKE2 and Longhorn storage.
Host and maintain data science environments including POSIT Workbench, Connect, and Hive Metastore.
Manage and scale GPU clusters and Ray Clusters for machine learning model fine-tuning.
Build and optimize CI/CD pipelines using Git, Helm charts, and ArgoCD for GitOps delivery.
Ensure continuous FIPS compliance and remediate critical system and application vulnerabilities.
Implement authentication and authorization mechanisms using Keycloak and Open Policy Agent.
Manage container images from secure registries and troubleshoot issues via the command-line console.

What we're looking for

Must possess a current Top Secret/SCI clearance and be able to obtain a Top Secret SCI + Polygraph.
Must be a US Citizen.
Must have 15+ years of related experience.
Must have a Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Must have experience designing, deploying, and troubleshooting production Kubernetes environments using RKE2 or similar.
Must have strong Linux systems administration skills, including troubleshooting infrastructure and platform services via the command-line console.
Must have experience with Git-based workflows, Helm charts, CI/CD pipelines, and GitOps practices using Argo CD or similar tools.
TS/SCI Clearance with current or willingness to obtain CI polygraph.

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