Senior Datadog Security & Observability Engineer

Senior Datadog Security & Observability EngineerRemote, USKeeper 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.This 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 documentationBenefitsMedical, 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.