Senior Detection Engineer (SIEM / Security Observability)

Description Keeper Security is seeking a Senior Detection Engineer to advance detection engineering, SIEM operations, and security telemetry across a globally distributed, cloud-native environment. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas. Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and help advance Keeper’s security visibility, detection maturity, and operational readiness. About Keeper Keeper Security is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. Keeper is a pioneer of zero-knowledge and zero-trust security built for any IT environment. Its core offering, KeeperPAM®, is an AI-enabled, cloud-native platform that protects all users, devices and infrastructure from cyber attacks. Recognized for its innovation in the Gartner Magic Quadrant for Privileged Access Management (PAM), Keeper secures passwords and passkeys, infrastructure secrets, remote connections and endpoints with role-based enforcement policies, least privilege and just-in-time access. Learn why Keeper is trusted by leading organizations to defend against modern adversaries at KeeperSecurity.com . About the Job As a Senior Detection Engineer, you will build and operate the detection and telemetry capabilities that power security visibility across Keeper’s production and corporate environments. This role is focused on SIEM engineering, detection logic, alert tuning, telemetry quality, and security observability. You will partner closely with Security Operations, Infrastructure, SRE, and Engineering teams to ensure logs, metrics, traces, and endpoint signals are actionable, scalable, and aligned to real-world threat scenarios. This is a hands-on engineering role for someone who can improve signal quality, reduce noise, and turn security data into operational value. Responsibilities Design, build, and maintain detection and telemetry capabilities across Datadog, SentinelOne, and Wiz Develop, test, and tune high-fidelity detection rules aligned to real-world attack scenarios and adversary behaviors Continuously improve alert quality by reducing false positives, eliminating noise, and increasing detection accuracy Implement and mature detection-as-code practices for scalable, version-controlled, and testable rule management Define and enforce logging, telemetry, and instrumentation standards across cloud infrastructure, applications, endpoints, and identity systems Build and optimize log ingestion, parsing, normalization, enrichment, and retention pipelines Automate onboarding of new data sources and improve telemetry coverage across production and corporate environments Correlate signals across SIEM, EDR, cloud, identity, and security tooling to improve detection depth and investigation quality Partner with Security Operations to improve triage workflows, incident response readiness, and escalation quality Build dashboards, analytics, and reporting that support operational decision-making across Security, SRE, and Engineering Map and maintain detection coverage against MITRE ATT&CK and help identify visibility gaps Perform detection gap assessments and evolve use cases based on threat intelligence, threat hunting, and emerging risks Collaborate with cloud, infrastructure, product, and compliance teams to strengthen secure logging and observability patterns throughout the software development lifecycle Requirements 5–8+ years of experience in detection engineering, SIEM engineering, security engineering, or security observability Hands-on experience with SIEM, security analytics, or observability platforms, such as Datadog, SentinelOne, Splunk, Microsoft Sentinel, Elastic, or similar tools Experience building, tuning, and maintaining detection rules, correlation logic, and alerting workflows Strong understanding of security telemetry across cloud, endpoint, identity, and application environments Experience with log parsing, normalization, enrichment, and pipeline management Strong knowledge of cloud environments, with AWS preferred Proficiency in scripting or automation using Python, PowerShell, or similar Solid understanding of modern detection strategies, attacker behaviors, and the MITRE ATT&CK framework Ability to work cross-functionally with Security Operations, Engineering, Infrastructure, and SRE teams Preferred Qualifications Experience with Datadog Cloud SIEM, SentinelOne, Wiz, or similar modern security platforms Experience with observability concepts including logs, metrics, traces, and instrumentation Experience with SOAR, workflow automation, or response orchestration Familiarity with Sigma or other detection-as-code frameworks Experience in high-scale SaaS, cloud-native, or security product environments Familiarity with zero-trust architectures, identity-centric security, and privileged access management Benefits Medical, Dental & Vision (inclusive of domestic partnerships) Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life Voluntary Short/Long Term Disability Insurance 401K (Roth/Traditional) A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc) Above market annual bonuses Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees. Classification: Exempt Keeper Candidate Privacy Notice This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan). 1. Data We Collect Information You provide: Contact details, CV/resume, cover letter Employment history, qualifications, work eligibility Application responses and uploaded documents Information We generate: Interview notes, assessments, communications Scheduling information Information From Others: Recruiter/referral information who submit your profile References (with your consent, before final offer) Public professional profiles Background verification (post offer) Voluntary Diversity and Equal Opportunity Information We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements 2. How We Use Your Data Assess your application and suitability Manage interviews and recruitment workflow Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified) Comply with employment law obligations 3. Legal Basis Legitimate Interests (recruitment management, security and integrity of the hiring process) Contracting steps (for progressed candidates) Legal and regulatory compliance obligations; explicit consent where required 4. Who We Share Information With Internal: HR, hiring managers, interviewers*, IT support for system administration *Note - diversity and equal opportunity data is not shared with hiring managers. Third Parties: Service providers who assist with: Applicant tracking, recruitment systems and assessment providers Background verification vendors (post offer) Recruitment agencies (where applicable) Tools to support communication, collaboration and to securely store your data Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place. 5. International Transfers Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws. 6. Security We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards. 7. Retention We keep your data for 24 months from your last application activity, then delete or anonymize it. Exceptions: You opt into our talent database for further retention by providing consent (extended retention) You're hired (transfers to employee records) 8. Your Rights You have the following rights and can contact us at the email below to exercise them: Access, correct, or delete your data, subject to applicable law and retention requirements Object to or restrict processing Withdraw consent (where applicable) Request data portability Lodge a complaint with your data protection authority If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law. When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights. 9. Automated Decisions Keeper does not make hiring decisions using solely automated processing. 10. Contact - Candidates can send privacy questions to: [email protected]