DevSecOps Engineer for Artificial Intelligence and Machine Learning (AI/ML)

General Dynamics

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Annapolis Junction, MD
Salary
$161,500–$218,500 / yr
Posted
115 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $190k
$113k $230k
below market most similar roles pay here above market

This role pays more than 67% of similar roles. Most pay $126,800–$213,625 — the blue band above. At the midpoint, this role pays about $190k versus about $170k 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.

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View all roles at General Dynamics

At a glance

TL;DR · DevSecOps Engineer for Artificial Intelligence and Machine Learning (AI/ML)

Role Posting Log in to save

The DevSecOps Engineer for Artificial Intelligence and Machine Learning (AI/ML) joins a team to automate and optimize service deployments while maintaining security protocols across development, test, and production systems. This role involves architecting and maintaining on-premise and cloud infrastructure, managing server logs, and performing root cause analysis for outages. The engineer will utilize GitLab, Jenkins, ArgoCD, Helm, and Kubernetes to build deployment processes for microservices. Key technical skills include Python, Bash, and Shell scripting, alongside experience with monitoring tools like Kibana, Grafana, and Nagios. The position requires managing configuration management, vulnerability testing, and access control to ensure system reliability. The work focuses on supporting AI/ML initiatives by maintaining operational readiness and integrating with enterprise authentication services within a secure infrastructure.

Skills

DevSecOps Kubernetes Docker OpenShift Python Bash Shell Scripting GitLab Jenkins ArgoCD Helm CI/CD Kibana Grafana Nagios Jira Confluence IAM S3 VPN SAFe Scrum

What you'll do

  • Automate and optimize service deployments using CI/CD tools like GitLab, Jenkins, and ArgoCD.
  • Architect, build, and maintain on-premise and cloud infrastructure to support team and customer initiatives.
  • Administer production, staging, and development environments while managing container platforms like Kubernetes and Docker.
  • Monitor system performance, server load, and resource usage using tools such as Kibana, Grafana, and Nagios.
  • Apply configuration management to maintain software revisions, security patches, hardening, and technical documentation.
  • Enforce security protocols by driving initiatives for access control, vulnerability testing, and authentication services.
  • Perform root cause analysis on outages and present findings to management for prioritization and tasking.
  • Manage the operational readiness board to determine if development services are ready for automation.

What we're looking for

  • Must be a US citizen.
  • Must be able to obtain a Top Secret SCI with Polygraph clearance.
  • Bachelor of Arts or Bachelor of Science degree.
  • 8+ years of related experience.
  • 3+ years of related systems programming experience.
  • Proficiency in DevOps, monitoring tools, and security protocols.
  • Experience with GitLab, Jenkins, ArgoCD, Kubernetes, Docker, OpenShift, and Helm.
  • Security clearance level: Must be able to obtain TS/SCI w/Poly.

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