Detection Engineer, Manager
Detection Engineer, Manager
Are you passionate about building and pioneering in the technology space? Do you enjoy solving complex security problems in a fast-paced, collaborative, and iterative environment? At Capital One, you'll be part of a group of makers, breakers, doers, and disruptors who solve real problems and protect millions of customers every day.
Capital One's Cyber Organization is a fast-paced, dynamic environment committed to enabling and securing the business.
Our Cyber
Operations & Intelligence division is searching for an experienced Individual Contributor (IC), Manager-level Detection Engineer with deep endpoint security expertise to join our Cyber Threat Detection (CTD) team. In this role, you will own end-to-end detection coverage for our Endpoint domain - from telemetry requirements and threat landscape awareness through to coverage gap identification and high-fidelity alert deployment.
The CTD team engineers, deploys, and validates automated threat detections that protect Capital One's customers, assets, and associates. Our detections power the investigations and incident response work of the Cyber Security Operations Center (CSOC), running continuously across our enterprise SIEM, which processes over 20 million events per second across hundreds of custom detection rules and thousands of out-of-the-box. Underpinning this platform is a Detection-as-Code discipline: every detection is a YAML-based rule, version-controlled in GitHub, CI/CD deployed, peer-reviewed, and unit-tested.
In this role, you will be a senior technical contributor responsible for solving hard problems using cutting-edge technology across endpoint security engineering, alert development, EDR/endpoint log analysis, and monitoring at scale.
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.
- 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 TPPs, 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
- 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
- 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)
Richmond, VA: $179,400 - $204,700 for Manager, Cyber Technical
McLean, VA: $197,300 - $225,100 for Manager, Cyber Technical
New York, NY: $215,200 - $245,600 for Manager, Cyber Technical
Plano, TX: $179,400 - $204,700 for Manager, Cyber Technical
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.
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).
