Senior Cyber Data and Infrastructure Security Engineering Developer

About This Role

Lead the design, development, and deployment of advanced architectures and solutions for agentic AI cybersecurity across cloud-agnostic infrastructures. This role involves driving machine learning model development, implementing automation, and mentoring junior engineers.

Responsibilities

• Lead the design, development, and deployment of advanced architectures, infrastructure, platforms, and solutions around agentic AI across cloud-agnostic infrastructures.
• Architect autonomous, intelligent systems capable of sensing, reasoning, and acting independently to solve complex business challenges.
• Drive end-to-end machine learning model development.
• Implement automation and self-healing workflows.
• Integrate agentic capabilities with enterprise security, compliance, and application teams.
• Design, build, and maintain core portfolio components that power Cyber AI solutions.
• Create and support secure, scalable REST and GraphQL APIs for seamless integration across platforms.
• Write clean, well-documented code and actively participate in code reviews.
• Integrate software components with cloud infrastructure and security tools.
• Contribute to the development and evolution of Central Cyber Control and Active Cyber Defense frameworks.
• Collaborate closely with cloud administrators, automation experts, and security engineers.
• Stay up to date with new technologies, evaluating and implementing best practices.

Requirements

• Bachelor's degree
• 5+ years of backend development (Node.js, Python with Django/Flask, containerized microservices on Google Cloud Run)
• 5+ years of experience with AI Architecture (modular integration with generative AI models like OpenAI, Google Vertex AI, Hugging Face; understanding of AI/ML concepts and frameworks like TensorFlow and PyTorch)
• 5+ years of experience with cloud platforms (AWS, Azure, GCP)
• 5+ years of experience with JavaScript
• 5+ years of experience with Python
• 5+ years of experience with Kubernetes

Qualifications

• Bachelor's degree
• 5+ years of backend development, AI Architecture, Cloud platforms, JavaScript, Python, and Kubernetes.

Skills

* Required skills

Certifications