DevSecOps Engineer Principal

General Dynamics

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Falls Church, VA
Salary: $144,500–$195,500 / yr
Posted: 50 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k

This role $170k

$130k $264k

below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $151,868–$214,500 — the blue band above. At the midpoint, this role pays about $170k versus about $183k 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 1364 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 1165 roles with salary data.

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View all roles at General Dynamics

At a glance

TL;DR · DevSecOps Engineer Principal

Role Posting Log in to save

The DevSecOps Engineer Principal joins the Cyber and IT Risk Management team to design, automate, and secure cloud-native platforms supporting enterprise applications and AI workloads. This role involves designing and maintaining secure AWS infrastructure using OpenTofu and GitLab CI/CD, while managing Amazon EKS clusters for Generative AI workloads. Key responsibilities include integrating security controls into CI/CD pipelines, building MLOps/AIOps platforms for model lifecycle management, and ensuring platform compliance with FedRAMP and NIST 800-53 standards. The position requires expertise in Linux, container security, secrets management, and vulnerability remediation. Candidates should possess skills in tools like Prisma Cloud, Wiz, Aqua, Trivy, Snyk, Prometheus, Grafana, and Splunk. The work focuses on solving complex security compliance, data pipeline operations, and automated infrastructure governance problems.

Skills

AWS Amazon EKS GitLab CI/CD OpenTofu MLOps AIOps FedRAMP Infrastructure as Code Linux NIST 800-53 Prisma Cloud Wiz Aqua Trivy Snyk Prometheus Grafana CloudWatch Splunk Vector Databases Zero Trust IAM

What you'll do

Design, implement, and maintain secure AWS cloud infrastructure using OpenTofu and GitLab CI/CD.
Deploy, manage, and optimize Amazon EKS clusters for enterprise and Generative AI workloads.
Integrate automated vulnerability scans and compliance checks into CI/CD pipelines.
Build and support MLOps/AIOps platforms for AI model deployment and lifecycle management.
Ensure platform compliance with FedRAMP, NIST standards, and internal security policies.
Manage vulnerability remediation and secrets management across cloud-native platforms.
Support deployment operations, data pipelines, and platform automation for engineering teams.

What we're looking for

Must be a US Citizen.
Must possess a BI Full 6C (T4) public trust.
Must have 5+ years of experience in Platform Engineering, DevOps, or Cloud Engineering.
Must have hands-on experience with AWS, Amazon EKS, Linux, and GitLab CI/CD.
Must have experience implementing DevSecOps practices, including container security, secrets management, and vulnerability remediation.
Must have knowledge of FedRAMP, NIST 800-53, and security compliance frameworks.
Must have experience with Generative AI, MLOps/AIOps platforms, and strong scripting skills.
Must have CompTIA Security+ or an equivalent certification.

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