Senior Threat Graph Researcher at Microsoft

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Threat Graphs, Cloud Security, Graph Theory, Graph Databases, Graph Analytics, Python, Data Analysis, Machine Learning, Statistical Modelling, Malware Analysis, Adversary Infrastructure Tracking, Multi-Cloud Security, Detection Engineering, Threat Lifecycle, Incident Response, Mentoring

Industry

Software Development

Description

We are seeking a Senior Threat Graph Researcher with a deep expertise in modeling, analyzing, and interpreting large-scale threat graphs to advance the frontiers of cloud security. The ideal candidate will possess hands-on experience architecting and deploying graph-based detection solutions, including designing graph schemas, implementing algorithms for malicious pattern discovery, and operationalizing analytics for multi-tenant environments. Your work will be instrumental in shaping the next generation of threat graph technologies, empowering the security team to protect complex, heterogeneous cloud ecosystems with actionable insights. 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. 5+ 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. Proven ability to work independently and deliver complete solutions and effectively articulate technical insights to influence multidisciplinary teams.

Responsibilities

Design and maintain scalable threat graphs that model various entities to enhance cloud security. Collaborate with researchers and engineers to enrich graph models and refine detection strategies.