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Detection Engineer, Manager

Capital One
McLean, USA
Full-time
Manager · 6+ years experience
Discovered 5 days ago
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Free

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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.

About You

Deep expertise in endpoint security, EDR platforms, and Windows, Linux, macOS telemetry analysis

Previous experience on a detection engineering, threat detection, or detection operations team with a focus on endpoint threat surfaces

Extensive experience with SQL and data querying at scale

Strong understanding of attacker TTPs, Red Team methodologies, and translating offensive security insights into high-fidelity detections

Experience with ML or data science concepts applied to security use cases (anomaly detection, behavioral analytics, risk scoring)

Excellent analytical, communication, and cross-functional collaboration skills

Ability to perform independent root cause analysis and convey complex security risks to both technical and executive audiences

Demonstrated ability to mentor engineers and contribute to a culture of continuous improvement

Basic Qualifications

High School Diploma, GED, or equivalent certification

At least 4 years of experience working in cybersecurity or information technology

At least 4 years of experience with endpoint and host logs (Windows Event Logs, Sysmon, EDR telemetry)

At least 2 years of experience with EDR platforms (CrowdStrike Falcon, SentinelOne, Microsoft Defender)

At least 4 years of experience developing alerts for threat detection

At least 2 years of experience with penetration testing, offensive security, or adversary emulation

At least 1 year of experience with machine learning or data science applied to security

Preferred Qualifications

Bachelor's Degree

6+ years of experience in Threat Detection, Threat Hunting, or Security Engineering

4+ years of experience with Python

4+ years of experience with data science concepts and techniques (anomaly detection or behavioral analytics)

2+ years of experience publishing code to GitHub using CI/CD workflows

Experience with Databricks, Apache Spark, or streaming data platforms

Experience with Detection-as-Code methodologies and YAML-based detection frameworks

Experience with CrowdStrike Falcon (custom IOAs, detection tuning, telemetry analysis)

Experience with Windows internals, process injection techniques, LOLBAS, and fileless attack detection

Experience with endpoint forensics, malware triage, or adversary emulation exercises targeting endpoint environments

2 or more professional certifications (GCIA, GCIH, CISSP, GMON, GREM, GCTD, MLE, or AWS Cloud Practitioner, AWS Security)

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration-related support for this position (i.e., H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1, O-1, or any EADs or 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.

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.

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.

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).

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