Job-Specific Essential Duties and Responsibilities:
- Conduct original research into emerging cyber threats, vulnerabilities, and mitigation strategies.
- Reverse engineer malware and analyze vulnerabilities to uncover new attack surfaces.
- Develop and test prototype tools for intrusion detection, threat hunting, and exploit prevention.
- Analyze large-scale datasets to identify indicators of compromise and behavioral anomalies.
- Publish technical findings and present research at classified and public conferences.
- Collaborate with DoD and USAF engineering teams to operationalize research into mission systems.
- Support Zero Trust architecture development and defensive cyber operations initiatives.
Job-Specific Minimum Requirements:
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Engineering, or a related field.
- Minimum 10 years in technology consulting.
- At least 5 years supporting federal government programs.
- Proven experience in cybersecurity research, reverse engineering, and vulnerability analysis.
- Expertise in malware analysis, exploit mitigation, and vulnerability research.
- Proficiency in Python, Bash, PowerShell for automation and tool development.
- Familiarity with big data platforms (e.g., Hadoop, Spark, ELK Stack).
- Knowledge of MITRE ATT&CK, Cyber Kill Chain, and Zero Trust frameworks.
- Experience with cloud-native security research (Kubernetes, containers, serverless).
- Ability to translate research into operational tools and mission capabilities.
- Required Certifications (At least 1 required):
- CompTIA Security+
- CISSP, ISSAP, CCSP
- CISM, CISA
- GSLC, GXPN, GDSA
- CEH, CCISO
- GIAC Reverse Engineering Malware (GREM)
- Offensive Security Certified Expert (OSCE)
Preferred Skills and Qualifications:
- Experience with USAF-specific architecture and compliance standards.
- Application of machine learning to cybersecurity datasets for anomaly detection and threat modeling.
- Experience collaborating with red/blue teams and integrating research into DevSecOps pipelines.
- Strong publication record and ability to present findings to technical and executive audiences.
- Demonstrated innovation and continuous improvement in large-scale R&D environments.
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