We are looking for a Security Knowledge Graph Specialist to build, maintain, and optimize cybersecurity knowledge graphs that provide contextual intelligence across enterprise security ecosystems. The role involves integrating security data, modeling relationships, and enabling advanced threat detection and AI-driven security analytics.

Key Responsibilities
Design and develop enterprise-scale Security Knowledge Graphs.
Create ontologies, schemas, and graph data models for cybersecurity domains.
Integrate data from SIEM, SOAR, IAM, CMDB, Vulnerability Management, Threat Intelligence, and Security Operations platforms.
Build graph-based threat hunting and attack path analysis solutions.
Develop AI-driven security insights using graph analytics.
Enable cyber asset discovery, risk scoring, and contextual security intelligence.
Collaborate with SOC, Threat Intelligence, IAM, and Security Architecture teams.

Required Skills

Graph Technologies
Neo4j
TigerGraph




Amazon Neptune
GraphDB
Apache Jena
RDF, OWL, SPARQL

Cybersecurity
SIEM (Splunk, Sentinel, QRadar)
Threat Intelligence Platforms
MITRE ATT&CK; Framework
Cyber Kill Chain
Vulnerability Management
IAM/PAM

Programming & Data
Python
Cypher Query Language
SQL
Data Modeling
ETL/ELT Pipelines

AI & Analytics (Preferred)
Graph Neural Networks (GNN)
Network Analysis
Knowledge Representation
Generative AI for Security
LLM-powered Security Assistants

Preferred Qualifications
Experience building Cybersecurity Knowledge Graphs.
Understanding of Zero Trust Architecture.
Certifications such as CISSP, Security+, CEH, Azure Security Engineer, or Neo4j Certified Qualified.
Experience in large-scale enterprise security transformation programs.

📌 Data Scientist Hyderabad (India)
🏢 Wipro
📍 India