Senior DevSecOps Engineer for AI/ML Infra & Security

General Dynamics Information Technology, Inc.; Maryland; On-site; USD 161,000 - 218,000; Full time

Benefits offered by this job

401(k) with company match

Paid time off

Health and welfare benefits

Flex work weeks where possible

Job summary

General Dynamics Information Technology, Inc. seeks a DevSecOps Engineer in Maryland to automate deployments, integrate auth services, and strengthen monitoring with strong security practices.

The role requires 8+ years of related experience, US citizenship, and eligibility for TS/SCI w/ Poly. You will work on on-premise and cloud infrastructure, build robust pipelines, and ensure secure operations across development, test, and production environments.

Qualifications

• Bachelor degree required and 8+ years of related experience.
• 3+ years of related systems programming experience.
• Understanding of GitLab, Jenkins, ArgoCD, and other DevOps/CI tools for Kubernetes.
• Experience with Python, Bash, and Shell scripting.
• US citizenship and ability to obtain TS/SCI w/ Poly.

Responsibilities

• Automate and optimize service deployments.
• Integrate with enterprise authentication services.
• Establish and improve system monitoring while maintaining security protocols.
• Architect and maintain on premise/cloud infrastructure for team initiatives.
• Maintain CI/CD pipelines and configuration management across environments.

Skills

DevOps

Monitoring

Security concepts

Python scripting

Communication

Team collaboration

Education

Bachelor of Arts/Bachelor of Science

Tools

GitLab

Jenkins

ArgoCD

Kubernetes

Docker

OpenShift

Helm

Jira

Confluence

Job description

General Dynamics Information Technology, Inc. seeks a DevSecOps Engineer in Maryland to automate deployments, integrate auth services, and strengthen monitoring with strong security practices.

The role requires 8+ years of related experience, US citizenship, and eligibility for TS/SCI w/ Poly. You will work on on-premise and cloud infrastructure, build robust pipelines, and ensure secure operations across development, test, and production environments.