Federal Risk and Authorization Management Program (FedRAMP)
Infrastructure As Code (IaC)
Security Compliance
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.
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.
5 + years of related experience
* may vary based on technical training, certification(s), or degree
Less than 10%
U.S. Citizenship Required
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.
View information about benefits and our total rewards program.
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.
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