Cyber AI Deployment Engineer
Core
Operate and enhance an internal AI Harness (FedCyber.ai) for scanning code repositories, automate security analysis workflows, and execute penetration testing on web apps, APIs, and cloud services.
Role type
Cyber AI Deployment Engineer (hybrid technologist)
Builds
AI-powered security automation tools, secure full-stack applications, and CI/CD integrated security controls
Domain
Cybersecurity, AI/ML, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Secure full-stack development, penetration testing, AI/ML tooling integration, CI/CD pipeline automation, vulnerability research, threat modeling, reverse engineering, cloud infrastructure management
Preferred skills
Customizing AI-driven cybersecurity tools, reverse engineering/malware analysis, offensive security certifications, zero-trust architecture design
Technologies
React, Node.js, Python, Java, Go, Azure, AWS, GCP, GitHub, GitLab, Bitbucket, SAST, DAST, SCA, FedCyber.ai
Responsibilities
Run and optimize AI-powered harness for vulnerability scanning; Integrate AI insights into developer workflows and CI/CD pipelines; Develop custom AI assistive components for detection accuracy; Execute penetration testing and red-team assessments; Design and deploy secure full-stack applications; Collaborate with DevSecOps teams to embed security controls
Seniority
Mid-level, hands-on IC
