Basic 3+ years of proven experience in cyber threat intelligence engineering, incident response, security automation, or data engineering Hands-on experience leveraging Generative AI for security operations, including prompt definition, model benchmarking, and integrating scalable AI solutions into intelligence workflows Demonstrated ability to configure, deploy, and maintain threat intelligence platforms (TIPs) and integrate structured threat data into enterprise security tools Proficiency in creating and managing interactive Python notebooks (e.g., Jupyter, Marimo), configuring data connections, building reusable workflows, and documenting analytical processes Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience Preferred Experience designing and operating cloud-based data platforms, automation services, and infrastructure-as-code in AWS, Azure, or GCP Proficiency with Git-based development practices, including branching, pull requests, code review, CI/CD, and automated testing Experience integrating threat intelligence platforms with enterprise security tools, including SIEM, SOAR, EDR/XDR, vulnerability management, and case-management systems Knowledge of threat intelligence standards and data technologies, including STIX/TAXII, MITRE ATT&CK, Python, SQL, APIs, and relational, graph, or search databases Strong verbal and written communication skills with the ability to convey complex technical concepts clearly