Cyber Data and Infrastructure Security Engineering Developer

About This Role

As a Security Engineering Developer, you will lead the design, development, and deployment of advanced architectures and infrastructure around agentic AI solutions. You will architect autonomous, intelligent systems capable of sensing, reasoning, and acting independently to solve complex business challenges within cloud-agnostic environments. This role involves driving end-to-end machine learning model development and integrating agentic capabilities with enterprise security, compliance, and application teams.

Responsibilities

• 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 to ensure quality standards
• Integrate software components with cloud infrastructure and security tools, enabling reliable and secure deployments
• Contribute to the development and evolution of Central Cyber Control and Active Cyber Defense frameworks
• Work closely with cloud administrators, automation experts, and security engineers to design, deliver, and maintain advanced solutions
• Stay up to date with new technologies, evaluating and implementing best practices to drive innovation and efficiency

Requirements

• Bachelor's degree
• Legally authorized to work in the United States without employer sponsorship
• Ability to obtain and maintain required security clearance
• 2+ years of back end development using Node.js and Python (Django, Flask), including containerized microservices deployed on Google Cloud Run
• 2+ years of experience with AI Architecture, including modular integration with generative AI models (OpenAI, Google Vertex AI, Hugging Face) or understanding of AI/ML concepts and frameworks (TensorFlow, PyTorch)
• 2+ years of experience with cloud platforms (AWS, Azure, GCP)
• 2+ years of experience with JavaScript
• 2+ years of experience with Python

Qualifications

• Bachelor's degree
• 2+ years of back-end development including Node.js and Python (Django, Flask), containerized microservices deployed on Google Cloud Run; 2+ years of experience with AI Architecture (modular integration with generative AI models or understanding of AI/ML concepts and frameworks); 2+ years of experience with cloud platforms (AWS, Azure, GCP); 2+ years of experience with JavaScript; 2+ years of experience with Python

Skills

* Required skills

Certifications