Full Stack Developer, AI Security

Design, develop, and operate secure, AI-enabled cybersecurity platforms as a hands-on individual contributor Build and maintain full-stack applications, including backend services, APIs, integrations, and web-based user interfaces Architect and deploy cloud-native solutions aligned to enterprise public cloud and security standards Integrate AI/ML capabilities into cybersecurity platforms while implementing strong AI security controls Implement DevSecOps practices, CI/CD pipelines, and infrastructure-as-code for secure, repeatable deployments Support design and development of test automation for building End-To-End test cases and repeatable regression tests Support production operations, troubleshooting, and incident resolution across application, cloud, and security layers Collaborate with architecture, governance, risk, and platform teams to deliver compliant, scalable solutions Contribute to proof-of-concepts, lab testing, documentation, and reusable patterns to accelerate innovation Requirements Bachelor's degree (BS/BA) desired in Computer Science or Cybersecurity 3+ years of related experience Certification is required in some areas Proven experience developing and supporting full-stack applications, including APIs, backend services, integrations, and web-based user interfaces Hands-on expertise with public cloud platforms, cloud-native architecture, Infrastructure-as-Code (IaC), and DevSecOps/CI/CD practices Experience integrating AI/ML capabilities into cybersecurity solutions while applying secure development, governance, and AI security controls Core Competencies Demonstrates expertise in designing and developing secure, AI-enabled cybersecurity platforms, with a strong focus on full-stack application development, cloud-native architecture, and DevSecOps practices. Proficient in integrating AI/ML capabilities while ensuring compliance with security standards and implementing robust testing and automation strategies. Highest-signal resume keywords Full-Stack Application Development Cloud-Native Architecture DevSecOps Practices AI/ML Integration Infrastructure-as-Code (IaC) ATS Optimization Keywords Hard Skills API Development Backend Services Web-Based User Interfaces Test Automation End-To-End Testing Regression Testing Incident Resolution Troubleshooting Soft Skills Collaboration Problem-Solving Certifications & Qualifications Cybersecurity Certification Industry Keywords AI Security Controls Governance Risk Management Compliance Scalable Solutions Tools & Technologies Public Cloud Platforms CI/CD Pipelines J-18808-Ljbffr