Security Research Engineer, Attack Surface, Risk Signals

CyberCube

. Develop innovative quantitative signals measuring company exposure to cyber attacks based on network architecture, asset configurations, and internet footprint .

Posted 10/7/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expert-level understanding of network protocols and configurations, with the ability to translate complex cybersecurity concepts into actionable risk metrics. Proficient in applying mathematical and statistical methods to evaluate cyber threats and integrate risk signals into production models.

Highest-signal resume keywords

Expert-Level Understanding Of Network ProtocolsProficiency In Python Or RExperience In Cyber Insurance Or Risk ModelingAdvanced Technical Or Security CertificationsExceptional Problem-Solving Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Network ProtocolsMathematical ConceptsStatistical ConceptsRisk ModelingNetwork EngineeringCyber Threat ResearchSQLRelational DatabasesData ScienceAI Fluency

Soft Skills

Problem-Solving Skills

Tools & Technologies

SparkHadoopJSONXMLAPIs

Certifications & Qualifications

CISSPCISMAdvanced Cisco/Networking Certifications

Industry Keywords

CybersecurityCyber ThreatsData Breach TechniquesInternet ArchitectureEnterprise Networks

Tech Stack

Tools & technologies

CloudCyber SecurityDNSHadoopPythonSparkSQLTCP/IP

About the role

Key responsibilities & impact

Develop innovative quantitative signals measuring company exposure to cyber attacks based on network architecture, asset configurations, and internet footprint
Translate theoretical cybersecurity concepts and complex network topologies into empirical, actionable risk metrics and assumptions
Evaluate how organizations deploy and configure internet-facing protocols, cloud infrastructure, and enterprise networks
Research emerging cyber threats, including critical vulnerabilities, ransomware, trending exploits, and data breach techniques
Map emerging threats to underlying asset configurations
Serve as the subject matter expert on internet architecture
Collaborate with product, analytics, and engineering teams to integrate risk signals into production models

Requirements

What you’ll need

Expert-level understanding of network protocols (TCP/IP, BGP, DNS, HTTP/S, TLS), routing, ASN ecosystems, and complex enterprise network configurations
Proven ability to apply mathematical and statistical concepts to real-world problems
Exceptional problem-solving skills and ability to break complex security concepts into measurable data points
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related highly quantitative/technical field
3–5+ years of relevant work experience in network engineering, cyber threat research, risk modeling, or a related domain
Proficiency in Python or R is preferred
Experience with SQL and relational databases is preferred
Familiarity with Spark/Hadoop, JSON/XML, flat files, complex data types, and APIs is preferred
Experience in cyber insurance, risk modeling, or data science is preferred
Advanced technical or security certifications such as CISSP, CISM, or advanced Cisco/networking certifications are preferred
AI fluency and thoughtful application of AI tools

Benefits

Comp & perks

Additional benefits will be shared during the hiring process
Equal opportunity employer