Threat & Exposure Management Platform Engineer
Core
Design, build, and operate a unified data platform and architecture that ingests, normalizes, and correlates threat, vulnerability, and exposure signals to enable automated risk prioritization and response.
Role type
Senior IC platform engineer (security data infrastructure)
Builds
Scalable data pipelines, correlation engines, and unified data substrates for enterprise security operations
Domain
Cybersecurity / Data Engineering
Deliverable
production ML models
Required skills
End-to-end platform architecture, large-scale data pipeline engineering (Kafka, Spark, Airflow, Flink), API design and development (REST/GraphQL), data modeling and correlation engine design, cloud-native data infrastructure (AWS/Azure/GCP), database technologies (relational, NoSQL, graph, time-series), cybersecurity concepts (vulnerability management, threat intelligence, risk scoring), software engineering fundamentals (CI/CD, IaC, observability)
Preferred skills
Leading continuous exposure management programs, graph-based attack path analysis, adversary simulation/emulation frameworks, AI/ML-driven security operations
Technologies
Kafka, Spark, Airflow, Flink, REST, GraphQL, AWS, Azure, GCP, Python, Go, Java
Responsibilities
Design and operate scalable data pipelines for security signals, develop correlation logic linking vulnerabilities and threats, build and evolve the authoritative data substrate, expose secure APIs for downstream consumption, integrate adversary validation results, assess defensive coverage gaps, ensure operational reliability of production systems, normalize data across heterogeneous security tools, collaborate with security operations and data science teams, automate data onboarding for new tools
Seniority
Senior, hands-on IC
