Detection Engineer Manager, Cyber Security
AI in this role
Leads cyber security detection engineering leveraging machine learning and LLMs to automate and optimize threat detection workflows.
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and risk-conscious delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Cyber Security Professionals who are passionate about evaluating cyber capabilities, threat intelligence, and risk management to join our team. In this role, you’ll have the opportunity to be on the forefront of driving cybersecurity governance, capability maturation, and risk transformation across Capital One.
What You’ll Do:
- AI-Driven Detection & Engineering: Leverage LLMs and machine learning to automate detection logic, summarize complex attack chains, reduce false positives, and accelerate the full detection development lifecycle using tools such as Capital One's Detection Engineering Assistant.
- Detection-as-Code (DaC) Leadership: Lead the design, development, and maintenance of detection rules using DaC methodologies, utilizing GenAI-assisted development workflows and CI/CD pipelines against the Cyber Detection Library (CDL).
- Behavioral Detection Engineering: Design and build high-fidelity behavioral detections that identify adversary patterns, TTPs, and anomalous endpoint activity — leveraging user and entity behavior signals, process telemetry, and correlation logic to distinguish malicious from benign activity at scale.
- Strategic Architecture: Utilize the MITRE ATT&CK framework to visualize, prioritize, and close endpoint coverage gaps; drive detection architecture decisions that balance fidelity, volume, and operational risk across the endpoint threat surface.
- Offensive Alignment & Threat Research: Apply a deep understanding of Red Team methodologies and adversary TTPs to conduct hypothesis-driven threat research across enterprise endpoint environments — translating attacker techniques into high-fidelity detections and proactively identifying coverage gaps before they are exploited.
- Endpoint Domain Ownership: Own end-to-end detection coverage for the Endpoint threat surface — managing the full lifecycle from telemetry onboarding through alert deployment, tuning, and continuous coverage gap analysis in collaboration with the Coverage Review Team.
- Stakeholder & Risk Management: Partner with business leaders, CSOC, Cyber Threat Intelligence, and Cyber Threat Hunt to ensure robust monitoring across endpoint environments while ensuring all documentation meets strict fintech compliance and audit standards.
- Technical Leadership & Mentorship: Serve as a technical bar-raiser across the team — mentoring engineers on traditional security concepts, emerging AI-driven workflows, and detection engineering best practices.
Basic Qualifications:
- Bachelor's Degree
- At least 5 years of experience in cybersecurity or information technology
- At least 4 years of experience evaluating, contributing to, or supporting development of cybersecurity capabilities
- At least 4 years of experience with endpoint or host logs (Windows Event Logs, Sysmon, EDR telemetry)
- At least 2 years of experience with EDR platforms (CrowdStrike Falcon, SentinelOne, Microsoft Defender)
- At least 1 year of experience with machine learning or data science applied to security
Preferred Qualifications:
- 6+ years of experience in Threat Detection, Threat Hunting, or Security Engineering
- 5+ years of experience with cybersecurity frameworks and concepts such as NIST CSF, MITRE ATT&CK, CMMC, FedRAMP, etc.
- 5+ years of experience performing analysis of or developing solutions for cyber threats, vulnerabilities, risks, or, events
- 5+ years of experience working on teams and presenting to stakeholders cybersecurity information such as metrics, threat intelligence, controls and/or requirements
- 4+ years of experience with Python
- 4+ years of experience using security tools (Splunk, Crowdstrike, Qualys, or AWS Security Hub)
- 4+ years of experience with data science concepts and techniques (anomaly detection, behavioral analytics)
- Ability to perform security incident analysis and assist with resolution, translating technical findings into clear, actionable reports for technical and non-technical stakeholders
- Experience with CrowdStrike Falcon (custom IOAs, detection tuning, telemetry analysis)
- Experience with endpoint forensics, malware triage, or adversary emulation exercises targeting endpoint environments
- GCIA, GCIH, CISSP, GMON, GREM, GCTD, MLE, or Cloud (GCP, AWS) certifications
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Manager, Cyber Security
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
How we rate this
Detection Engineer Manager, Cyber Security at Capital One rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where cybersecurity was part of your work. What did you do?
- Tell me about a project where threat detection was part of your work. What did you do?
- Tell me about a project where detection as code was part of your work. What did you do?
- Tell me about a project where threat research was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Cybersecurity, Threat Detection, Detection As Code, Threat Research, and Machine Learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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