Senior Datadog Security & Observability Engineer

DescriptionKeeper is hiring a talented Senior DataDog Engineer to join our DevOps team. This can be a 100% remote position from select locations with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro area.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 scale the Datadog platform that supports Keeper’s security visibility, detection maturity and operational readiness.About KeeperKeeper 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 JobThis is a Datadog-first security engineering role focused on detection engineering, SIEM operations and security observability across Keeper’s production and corporate environments. The ideal candidate has deep, hands-on experience administering and scaling Datadog, including Cloud SIEM, log management, security monitoring, dashboards, monitors and telemetry pipelines. Reporting to the Director of IT and Security, this role 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. General SIEM experience without substantial production experience in Datadog will not be sufficient for this role.ResponsibilitiesOwn and continuously improve Datadog Cloud SIEM, security monitoring and observability capabilities across production and corporate environmentsDesign, build and maintain detection and telemetry capabilities across Datadog, SentinelOne, Wiz and related security platformsDevelop, test and tune high-fidelity Datadog detection rules aligned to real-world attack scenarios and adversary behaviorsImprove alert quality by reducing false positives, eliminating noise and increasing detection accuracyDesign and maintain Datadog log pipelines, processors, parsing rules, facets, indexes, archives and retention strategiesImplement and mature detection-as-code practices for scalable, version-controlled and testable rule managementDefine and enforce logging, telemetry and instrumentation standards across cloud infrastructure, applications, endpoints and identity systemsBuild and optimize log ingestion, parsing, normalization, enrichment and routing workflowsAutomate onboarding of new telemetry sources and improve visibility across production and corporate environmentsCorrelate signals across Datadog, EDR, cloud, identity and security platforms to improve detection depth and investigation qualityPartner with Security Operations to improve triage workflows, incident response readiness and escalation qualityBuild Datadog dashboards, monitors, analytics and reporting that support operational decision-making across Security, SRE and EngineeringMap and maintain detection coverage against MITRE ATT&CK and identify telemetry and detection gapsPerform detection gap assessments and evolve use cases based on threat intelligence, threat hunting and emerging risksCollaborate with cloud, infrastructure, product and compliance teams to strengthen secure logging and observability patterns throughout the software development lifecycleUse AI-assisted tools such as Claude, ChatGPT or similar platforms to support query development, detection engineering, investigations, automation and technical documentationRequirements4+ years of Datadog experience in detection engineering, SIEM engineering, security engineering, and security observability.Deep, hands-on production experience administering and engineering Datadog in complex cloud environmentsStrong experience with Datadog Cloud SIEM, Log Management, Security Monitoring, dashboards, monitors and alertingExperience designing and maintaining Datadog log pipelines, processors, parsing rules, facets, indexes and retention strategiesExperience building, testing and tuning detection rules, correlation logic and investigation workflows in DatadogStrong understanding of security telemetry across cloud, endpoint, identity and application environmentsExperience with log parsing, normalization, enrichment and pipeline managementStrong knowledge of AWS and cloud-native infrastructureProficiency with scripting or automation using Python, PowerShell or similar languagesExperience using Datadog APIs, Terraform or similar infrastructure-as-code tools to automate configuration and platform managementSolid understanding of modern detection strategies, attacker behaviors and the MITRE ATT&CK frameworkAbility to troubleshoot complex issues across logs, metrics, traces, infrastructure and application telemetryStrong communication skills and the ability to collaborate across Security Operations, Engineering, Infrastructure and SRE teamsAbility and willingness to use AI-assisted tools effectively to improve query development, detection analysis, troubleshooting, automation and documentationPreferred QualificationsExperience with SentinelOne, Wiz or related cloud and endpoint security platformsExperience with Datadog Application Performance Monitoring, Infrastructure Monitoring, distributed tracing or synthetic monitoringExperience optimizing Datadog ingestion volume, indexing, retention and platform costExperience with SOAR, workflow automation or response orchestrationFamiliarity with Sigma or other detection-as-code frameworksExperience operating Datadog across large-scale, multi-account or multi-region AWS environmentsExperience in high-scale SaaS, cloud-native or security product environmentsFamiliarity with zero-trust architectures, identity-centric security and privileged access managementBachelor’s degree in Computer Science, Engineering, or related fieldBenefitsMedical, Dental & Vision (inclusive of domestic partnerships)Employer Paid Life Insurance & Employee/Spouse/Child Supplemental lifeVoluntary Short/Long Term Disability Insurance401K (Roth/Traditional)A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)Above market annual bonusesKeeper 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: ExemptKeeper Candidate Privacy NoticeThis 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). Data We CollectInformation You ProvideContact details, CV/resume, cover letterEmployment history, qualifications, work eligibilityApplication responses and uploaded documentsInformation We GenerateInterview notes, assessments, communicationsScheduling informationInformation From OthersRecruiter/referral information who submit your profileReferences (with your consent, before final offer)Public professional profilesBackground verification (post offer)Voluntary Diversity and Equal Opportunity InformationWe 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 How We Use Your DataAssess your application and suitabilityManage interviews and recruitment workflowConsider 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 Legal BasisLegitimate Interests (recruitment management, security and integrity of the hiring process)Contracting steps (for progressed candidates)Legal and regulatory compliance obligations; explicit consent where required Who We Share Information WithInternalHR, hiring managers, interviewers*, IT support for system administrationNote - diversity and equal opportunity data is not shared with hiring managers.Third PartiesService providers who assist with:Applicant tracking, recruitment systems and assessment providersBackground verification vendors (post offer)Recruitment agencies (where applicable)Tools to support communication, collaboration and to securely store your dataKeeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place. International TransfersYour 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. SecurityWe implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards. RetentionWe keep your data for 24 months from your last application activity, then delete or anonymize it.ExceptionsYou opt into our talent database for further retention by providing consent (extended retention)You're hired (transfers to employee records) Your RightsYou 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 requirementsObject to or restrict processingWithdraw consent (where applicable)Request data portabilityLodge a complaint with your data protection authorityIf 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. Automated DecisionsKeeper does not make hiring decisions using solely automated processing. Contact - Candidates can send privacy questions to: privacy@keepersecurity.com