DevSecOps Engineer for Artificial Intelligence and Machine Learning

General Dynamics

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Annapolis Junction, MD
Salary
$161,500–$218,500 / yr
Posted
70 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 $163k
This role $190k
$108k most similar roles pay here $230k

This role pays more than 70% of similar roles. Most pay $126,800–$198,393 — the shaded band above. At the midpoint, this role pays about $190k versus about $163k 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 · DevSecOps Engineer for Artificial Intelligence and Machine Learning

Role Posting Log in to save

DevSecOps Engineer for Artificial Intelligence and Machine Learning (AI/ML) serves as an active participant in SAFe and Scrum development teams to automate and optimize service deployments. The role involves building and maintaining on-premise and cloud infrastructure, managing production and staging environments, and implementing CI/CD pipelines. Key responsibilities include monitoring system performance using tools like Kibana, Grafana, and Nagios, while enforcing security protocols such as access control and vulnerability testing. The candidate will utilize a technical stack including GitLab, Jenkins, ArgoCD, Kubernetes, Docker, OpenShift, Helm, Python, Bash, and Shell scripting. Additionally, the role requires managing infrastructure for AI/ML initiatives by integrating enterprise authentication services and ensuring configuration management for software revisions. This position addresses critical security and reliability needs within complex development environments to support large-scale technical operations and infrastructure stability.

Skills

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

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 initiatives.
  • Manage production, staging, and development environments while ensuring security protocol compliance.
  • Monitor system performance, server load, and resource usage using tools like Kibana, Grafana, or Nagios.
  • Aggregate server logs to identify and resolve security and system-related incidents.
  • Apply configuration management for software revisions, security patches, hardening, and documentation.
  • Execute vulnerability testing and manage access control to ensure infrastructure reliability.
  • Perform root cause analysis on outages and present findings to management for prioritization.

What we're looking for

  • US citizenship is required.
  • 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 Python, Bash, and Shell scripting.
  • Experience with container platforms (Kubernetes, Docker, OpenShift) and CI/CD tools like GitLab, Jenkins, and ArgoCD.
  • Security clearance level: Must be able to obtain TS/SCI w/Poly.

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