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Django AI Developer (with Cybersecurity Proficiency) – Job Description

We’re seeking a skilled Django AI Developer to design, build, and secure the next generation of intelligent cybersecurity platforms. You will collaborate with cross-functional teams of developers, data scientists, and ethical hackers to engineer scalable, secure, and AI-powered SaaS solutions.

Key Responsibilities

• Develop and maintain robust web applications using Django and RESTful APIs.
• Integrate AI/ML models (e.g., for anomaly detection, NLP, or cyber threat analysis) into Django-based systems.
• Design secure system architectures and implement cybersecurity best practices across the stack (e.g., OWASP compliance, secure authentication, and encryption).
• Conduct and automate vulnerability assessments, identity management, and security code reviews.
• Manage data pipelines and ensure GDPR-compliant data handling for AI training and inference.
• Collaborate with DevOps on cloud deployment security (AWS, GCP, or Azure).
• Contribute to internal tools for pentesting automation, alert correlation, or security analytics dashboards.

Qualifications

• 3+ years of Django development experience.
• Strong understanding of Python, Django ORM, and asynchronous programming.
• Familiarity with integrating machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience in web security, pentesting tools, and secure software development lifecycle (SSDLC).
• Knowledge of network security, OAuth2/JWT, SQL injection prevention, and secure API design.
• Solid foundation in Linux environments and version control (Git).
• Previous experience in cybersecurity or AI-driven security products.
• Certifications like OSCP, CISSP, or CEH.
• Experience with FastAPI, Docker/Kubernetes, or MLOps pipelines.
• Understanding of zero-trust architectures or threat intelligence models.

Benefits

• Competitive salary and equity options.
• Opportunity to shape the future of AI-driven cybersecurity.
• Collaborative environment with leading experts in pentesting, AI, and software engineering.
• Flexible working hours and support for continuous training and certification.