Senior Software Engineer

1. * Design and maintain scalable threat graphs that model entities such as devices, identity, threat actors, TTPs, infrastructure, and campaigns. Collaborate with threat protection researchers, data scientists, and detection engineers to enrich graph models with contextual insights and refine detection and response strategies, to provide comprehensive threat coverage and response capabilities. Research and prototype novel graph-based techniques for threat detection, attribution, and prioritization in collaboration with internal and external security teams. Translate complex raw security data into actionable graph intelligence that enhances the effectiveness of security operations for a global customer base. Mentor, guide, and drive best practices among researchers and detection engineers on advanced graph-based threat hunting and incident response across diverse ecosystems. 1. * 7+ years of experience in security research, detection engineering, threat lifecycle, cloud security in large-scale in complex cloud environments. Strong understanding of graph theory, graph databases (e.g., Neo4j, TigerGraph), and graph analytics with proficiency in Python or similar languages for data analysis and prototyping. Experience working with large-scale datasets, distributed systems and graph analytics projects. Ability to translate complex threat data into graphs and actionable insights. Experience with machine learning or statistical modelling applied to graph data. Knowledge of adversary infrastructure tracking, malware analysis, or campaign clustering. Extensive hands-on experience with cloud platforms—including, but not limited to, Azure—as well as a deep understanding of multi-cloud security challenges and solutions.