DevSecOps Engineer Principal
Quick Summary
Skills:Federal Risk and Authorization Management Program (FedRAMP), Infrastructure As Code (IaC),
Clearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NoneJob Family:
Cyber and IT Risk ManagementRequirements
~1 min readJob 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.
• Required: CompTIA Security+ or equivalent.
• Preferred: AWS certifications such as DevOps Engineer or Security Specialty, CISSP, or an equivalent security certification.
Scheduled Weekly Hours:
40Work Location:
Any Location / RemoteAdditional Work Locations:
Location & Eligibility
About this job
- Posted
- 59 days ago
Listing Details
- Posted
- September 8, 2026
- First seen
- October 1, 2026
- Last seen
- October 5, 2026
Posting Health
- Days active
- 36
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- November 7, 2026
Signal breakdown
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