Associate Principal, Adversarial Red Team

Adversarial Red Team Associate Principal

***** THIS POSITION IS NOT ELIGIBLE FOR VISA SPONSORSHIP*****

To be considered for this position, applications and resumes are accepted only through our careers site by directly applying to the posted job. We do not accept unsolicited resumes or sales solicitations from staffing agencies. Any OCC employee wishing to submit a referral must do so through their Workday account. Any resume submitted outside of an active job posting will not be considered for employment.

The Adversarial Red Team Associate Principal is responsible for strengthening OCC's security posture by conducting covert black-box and occasional white-box assessments across network, web application, cloud, mobile, physical, and social engineering domains, while coordinating with Security and IT teams to address and retest remediated findings. Ideal candidates will bring deep expertise in areas such as OSINT, penetration testing, C2 infrastructure development, evasion techniques, and custom scripting, along with strong communication skills and a commitment to staying ahead of emerging threats.

All team members are held to the highest standards of ethics, integrity, and accountability, and are expected to foster a collaborative, bar-raising dynamic with OCC's defensive security teams.

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

• Execute comprehensive Red Team simulations including network/application penetration testing, cloud security, social engineering, physical security, mobile testing, and OSINT within defined rules of engagement.
• Develop and deploy Command and Control (C2) infrastructure using evasion and obfuscation techniques to test and enhance Cyber Defense detection capabilities.
• Leverage AI/LLM tooling to accelerate offensive research, exploit development, and overall Red Team effectiveness.
• Conduct ad-hoc white-box testing on pre-production and in-development infrastructure, and validate remediated findings with IT owners.
• Perform threat modeling, security risk assessments, and independent reviews of OCC's security, network, and applications.
• Develop clear, evidence-based reports with actionable remediation recommendations and debrief stakeholders on findings.
• Ensure security controls and testing activities align with applicable regulations, industry best practices, and OCC policies and procedures.
• Cross-train Red Team members and other Security/IT teams on adversarial threats, attack vectors, and remediation strategies.
• Stay current on emerging threats, threat intelligence, and attack techniques, advising IT leadership on mitigation approaches.
• Support audits, contribute to security roadmap development, and mentor team members while fostering a collaborative team environment.
• Perform other duties as assigned.

The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

• High energy, results driven person with an attention to detail.
• Strong enthusiasm to stay up-to-date on Threat Intelligence and learn new adversarial TTPs to simulate on a regular basis
• Exceptional analytical, problem solving and troubleshooting skills with the ability to exercise good judgment while developing creative solutions.
• Exceptional tactical planning skills based on long-term strategic goals.
• Exceptional verbal/written communication skills to be able to articulate ideas clearly and concisely.
• Excellent listening skills.
• Excellent focused domain areas of expertise as well as a good breadth of experience across Network/Application Penetration Testing, Web Application Penetration Testing, Mobile Application Penetration Testing, Command and Control (C2) Infrastructure Development, Cyber Defense Evasion techniques, Social Engineering, Open-Source Intelligence, Basic Emissions Testing, Physical Security Testing, and more.
• Strong working knowledge of Artificial Intelligence (AI) large language models (LLMs) and agentic AI systems – including how autonomous and tool-usig agents,…