DevSecOps Engineer Principal

General Dynamics Information Technology; United States; Remote; USD 145,000 - 196,000; Full time

Job summary

General Dynamics Information Technology is seeking a security-focused Principal DevSecOps Engineer to design, automate, and secure cloud-native platforms supporting enterprise applications and AI workloads in a 100% remote role.

You will implement DevSecOps practices across AWS, EKS, GitLab CI/CD, and MLOps/AIOps, ensure FedRAMP and NIST compliance, and partner with engineering teams to automate security into deployment workflows and data pipelines.

Qualifications

• 5+ years of experience in Platform Engineering, DevOps, or Cloud Engineering.
• Hands-on experience with AWS, Amazon EKS, Linux, GitLab CI/CD.
• Demonstrated experience implementing DevSecOps practices, including container security, secrets management, and vulnerability remediation.
• Knowledge of FedRAMP, NIST 800-53, security compliance frameworks, and experience supporting internal/external audits.
• Experience working with Generative AI, MLOps/AIOps platforms, with strong scripting and automation skills.

Responsibilities

• Design, implement, and maintain secure AWS cloud infrastructure using OpenTofu and GitLab CI/CD.
• Deploy, manage, and optimize Amazon EKS clusters supporting enterprise and Generative AI workloads.
• Integrate security controls into CI/CD pipelines using DevSecOps best practices, including automated vulnerability scans and compliance checks.
• Build and support MLOps/AIOps platforms for AI model deployment, monitoring, and lifecycle management.
• Ensure platform compliance with FedRAMP, NIST standards, internal security policies, vulnerability management processes, and audit-readiness requirements.
• Collaborate across engineering teams to support deployment operations, data pipelines, and platform automation.

Skills

FedRAMP

IaC

Security Compliance

Tools

GitLab CI/CD

OpenTofu

Amazon EKS

Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

BI Full 6C (T4)

Job Family:

Cyber and IT Risk Management

Job Qualifications:

Skills:

Federal Risk and Authorization Management Program (FedRAMP), Infrastructure As Code (IaC), Security Compliance

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

DEVSECOPS ENGINEER PRINCIPAL

(100% Remote)

Role Overview
We are seeking a security-focused Principal DevSecOps Engineer to design, automate, and secure cloud-native platforms supporting enterprise applications and AI workloads. This role emphasizes DevSecOps practices, compliance with FedRAMP and security audit requirements, and deep expertise across AWS, Amazon EKS, GitLab CI/CD, and MLOps/AIOps. The ideal candidate will be able to support all deployment workflows and data pipeline operations across the platform.

Key Responsibilities

• Design, implement, and maintain secure AWS cloud infrastructure using OpenTofu and GitLab CI/CD.
• Deploy, manage, and optimize Amazon EKS clusters supporting enterprise and Generative AI workloads.
• Integrate security controls into CI/CD pipelines using DevSecOps best practices, including automated vulnerability scans and compliance checks.
• Build and support MLOps/AIOps platforms for AI model deployment, monitoring, and lifecycle management.
• Ensure platform compliance with FedRAMP, NIST standards, internal security policies, vulnerability management processes, and audit-readiness requirements.
• Collaborate across engineering teams to support deployment operations, data pipelines, and platform automation.

Required Qualifications

• 5+ years of experience in Platform Engineering, DevOps, or Cloud Engineering.
• Hands-on experience with AWS, Amazon EKS, Linux, GitLab CI/CD.
• Demonstrated experience implementing DevSecOps practices, including container security, secrets management, and vulnerability remediation.
• Knowledge of FedRAMP, NIST 800-53, security compliance frameworks, and experience supporting internal/external audits.
• Experience working with Generative AI, MLOps/AIOps platforms, with strong scripting and automation skills.

Preferred Skills

• Experience with security platforms including Prisma Cloud, Wiz, Aqua, Trivy, or Snyk.
• Familiarity with observability and monitoring tools such as Prometheus, Grafana, CloudWatch, or Splunk.
• Experience with AI/ML technologies, including LLM deployment, vector databases, and AI security best practices.
• Knowledge of Zero Trust architectures, IAM, policy-as-code, and Infrastructure as Code governance.

Certifications

• Required: CompTIA Security+ or equivalent.
• Preferred: AWS certifications such as DevOps Engineer or Security Specialty, CISSP, or an equivalent security certification.

The likely salary range for this position is $144,500 - $195,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Total Rewards at GDIT

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans