DevSecOps Engineer for AI Vulnerability Platform (24/7)

CBTS

United States

On-site

USD 124,000 - 167,000

Full time

6 days ago
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Job summary

CBTS is seeking an Information Security Engineer / DevSecOps Engineer to build, operate, and improve an enterprise LLM-based code vulnerability detection platform. The role combines hands-on DevOps, security and GenAI across cloud infrastructure, CI/CD, and production support.

The ideal candidate has 5+ years of experience in DevOps or information security, with hands-on AWS Bedrock experience, Terraform, Jenkins, and GitHub.

Qualifications

  • 5+ years of hands-on engineering experience with DevOps or information security.
  • Experience with Generative AI/LLM development.
  • Hands-on experience with AWS Bedrock or equivalent hosted LLM platforms.
  • Strong knowledge of Infrastructure as Code, preferably Terraform.
  • Experience with Jenkins, GitHub, CI/CD, and DevOps practices.
  • Strong understanding of security/application security concepts.

Responsibilities

  • Develop and operate LLM-based code vulnerability detection capabilities using AWS Bedrock or equivalent hosted LLM platforms.
  • Build and maintain AI evaluation, scanning, and reporting pipelines.
  • Develop and support Python-based solutions and enterprise platforms.
  • Build and maintain CI/CD pipelines using Jenkins, GitHub, and Terraform.
  • Deploy and manage containerized workloads on AWS/ECS Fargate.
  • Apply Infrastructure as Code and DevOps best practices.
  • Integrate security findings and operational telemetry with Splunk/Dynatrace.
  • Support production operations, troubleshooting, patching, defect resolution, and continuous improvements.
  • Participate in Agile development and rotating 24/7 operational coverage.

Skills

DevOps
Information security
Generative AI/LLM development
Cloud experience

Tools

AWS Bedrock
Terraform
Jenkins
GitHub Actions

Job description

CBTS is seeking an Information Security Engineer / DevSecOps Engineer to build, operate, and improve an enterprise LLM-based code vulnerability detection platform. The role combines hands-on DevOps, security and GenAI across cloud infrastructure, CI/CD, and production support.

The ideal candidate has 5+ years of experience in DevOps or information security, with hands-on AWS Bedrock experience, Terraform, Jenkins, and GitHub.

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