Full Stack Developer

Job Summary: We are seeking a highly skilled and motivated AI Full Stack Developer with a strong foundation in cybersecurity operations and artificial intelligence technologies. The ideal candidate will have deep technical expertise in AI/ML, data science, and programming, alongside a solid understanding of cyber threat detection and defensive operations frameworks. You will be instrumental in designing and implementing full-stack AI-driven solutions to enhance our cybersecurity capabilities. Key Responsibilities: · Design, develop, and deploy full-stack AI solutions with a focus on cybersecurity threat detection and response. · Apply AI/ML techniques such as NLP, supervised/unsupervised learning, and generative AI to real-world security data. · Integrate AI models into scalable applications using modern full-stack development tools and frameworks. · Collaborate with cybersecurity teams to build and enhance detection and mitigation systems based on frameworks like MITRE ATT&CK. · Develop and maintain data pipelines, APIs, dashboards, and visualization tools to support AI model insights. · Write clean, well-documented, and secure code using Python, C++/C#, or R. · Leverage libraries such as TensorFlow, PyTorch, and Scikit-learn to prototype and optimize AI models. · Communicate complex technical concepts clearly to both technical and non-technical stakeholders. · Stay up-to-date with emerging AI trends, threat intelligence, and evolving attack techniques. · Participate in code reviews, threat modeling, and architectural design discussions. Qualifications & Skills: · Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. · 3 years of experience in a cybersecurity operations or similar function. · Strong knowledge of cybersecurity principles, frameworks, and threat intelligence (e.g., MITRE ATT&CK). · Proficient in AI/ML technologies, including Natural Language Processing, Generative AI, and Machine Learning algorithms. · Experienced in full-stack development with proficiency in Python, C++/C#, or R. · Familiarity with AI libraries and tools such as TensorFlow, PyTorch, and Scikit-learn. · Demonstrated ability to break down complex technical problems and communicate solutions effectively. · Excellent analytical, written, and verbal communication skills. · Certifications such as SANS, OffSec (OSCP/OSCE), or similar are a plus. · Self-starter with the ability to work both independently and collaboratively in a fast-paced, agile environment. Preferred Experience: · Experience with cloud platforms (AWS, Azure, GCP) and deploying AI services in cloud-native environments. · Familiarity with containerization (Docker, Kubernetes) and DevOps pipelines. · Exposure to security operations center (SOC) tools and SIEM platforms. · Experience working with big data platforms such as Spark, Hadoop, or Elastic Stack. #J-18808-Ljbffr