Full Stack Developer, AI Security

Jobtailor; Charlotte (NC); On-site; USD 110,000 - 165,000; Full time

Job summary

Jobtailor seeks a hands-on contributor to design, develop, and operate secure, AI-enabled cybersecurity platforms, delivering full-stack applications and APIs.

You will deploy cloud-native solutions, apply IaC, integrate AI/ML, implement DevSecOps practices, and support testing, incident resolution, and cross‑team collaboration to deliver compliant, scalable security solutions.

Qualifications

• Bachelor’s degree in Computer Science or Cybersecurity.
• 3+ years of related experience.
• Certification is required in some areas.
• Proven experience developing and supporting full-stack applications (APIs, backend, UI).
• Hands-on expertise with public cloud platforms, cloud-native architecture, IaC, and DevSecOps/CI/CD.

Responsibilities

• 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 with secure AI controls.
• Implement DevSecOps practices, CI/CD pipelines, and IaC for secure deployments.
• Support test automation, End-To-End testing, and regression testing.
• Assist production operations, troubleshoot, and resolve incidents across layers.
• Collaborate with architecture, governance, risk, and platform teams for compliant, scalable solutions.
• Contribute to proof-of-concepts, lab testing, and reusable patterns.

Skills

Full-Stack Development

Cloud-Native Architecture

DevSecOps

AI/ML Integration

Infrastructure-as-Code

Education

Bachelor’s degree in Computer Science or Cybersecurity

Tools

Public Cloud Platforms

CI/CD Pipelines

IaC Tools (Terraform/CloudFormation)

Job description

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