Senior Datadog Security – Observability Engineer

🕒 Agosto 5

🏄 California, Illinois – Remoto

infoinfo

⏰ Tempo Integral

🟠 Sênior

👮‍♂️ Cibersegurança / Engenheiro de Segurança

👻 Score fantasma 12%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Keeper Security, Inc.

Keeper Security, Inc.

501 - 1000 funcionários

Fundada em 2011

🔒 Cibersegurança

☁️ SaaS

🏢 Corporativo

💰 Private Equity Round - Keeper Security em 2023-05

Cybersecurity • SaaS • Enterprise

A Keeper Security, Inc. é uma empresa de cibersegurança que oferece soluções de gerenciamento de acesso privilegiado (PAM) e gerenciamento de senhas, com foco em nuvem e zero confianças. Sua plataforma KeeperPAM, gerente de segredos, gerente de privilégios de endpoint e produtos relacionados garantem credenciais, sessões e acesso remoto para empresas, MSPs e organizações do setor público usando criptografia de ponta a ponta e uma arquitetura de conhecimento zero. A Keeper opera principalmente como um provedor SaaS, enfatiza o cumprimento rigoroso de normas (FedRAMP, ISO, SOC 2, FIPS, PCI DSS, HIPAA) e é focada na prevenção de violação de dados e no gerenciamento de acesso privilegiado em ambientes de larga escala.

Descrição

• Own and continuously improve Datadog Cloud SIEM, security monitoring and observability capabilities across production and corporate environments • Design, build and maintain detection and telemetry capabilities across Datadog, SentinelOne, Wiz and related security platforms • Develop, test and tune high-fidelity Datadog detection rules aligned to real-world attack scenarios and adversary behaviors • Improve alert quality by reducing false positives, eliminating noise and increasing detection accuracy • Design and maintain Datadog log pipelines, processors, parsing rules, facets, indexes, archives and retention strategies • 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 routing workflows • Automate onboarding of new telemetry sources and improve visibility across production and corporate environments • Correlate signals across Datadog, EDR, cloud, identity and security platforms to improve detection depth and investigation quality • Partner with Security Operations to improve triage workflows, incident response readiness and escalation quality • Build Datadog dashboards, monitors, analytics and reporting that support operational decision-making across Security, SRE and Engineering • Map and maintain detection coverage against MITRE ATT&CK and identify telemetry and detection 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 • Use AI-assisted tools such as Claude, ChatGPT or similar platforms to support query development, detection engineering, investigations, automation and technical documentation

🎯 Requisitos

• 5+ years of experience in detection engineering, SIEM engineering, security engineering, security observability or a related technical role • Deep, hands-on production experience administering and engineering Datadog in complex cloud environments • Strong experience with Datadog Cloud SIEM, Log Management, Security Monitoring, dashboards, monitors and alerting • Experience designing and maintaining Datadog log pipelines, processors, parsing rules, facets, indexes and retention strategies • Experience building, testing and tuning detection rules, correlation logic and investigation workflows in Datadog • Strong understanding of security telemetry across cloud, endpoint, identity and application environments • Experience with log parsing, normalization, enrichment and pipeline management • Strong knowledge of AWS and cloud-native infrastructure • Proficiency with scripting or automation using Python, PowerShell or similar languages • Experience using Datadog APIs, Terraform or similar infrastructure-as-code tools to automate configuration and platform management • Solid understanding of modern detection strategies, attacker behaviors and the MITRE ATT&CK framework • Ability to troubleshoot complex issues across logs, metrics, traces, infrastructure and application telemetry • Strong communication skills and the ability to collaborate across Security Operations, Engineering, Infrastructure and SRE teams • Ability and willingness to use AI-assisted tools effectively to improve query development, detection analysis, troubleshooting, automation and documentation • Preferred: Experience with SentinelOne, Wiz or related cloud and endpoint security platforms • Preferred: Experience with Datadog Application Performance Monitoring, Infrastructure Monitoring, distributed tracing or synthetic monitoring • Preferred: Experience optimizing Datadog ingestion volume, indexing, retention and platform cost • Preferred: Experience with SOAR, workflow automation or response orchestration • Preferred: Familiarity with Sigma or other detection-as-code frameworks • Preferred: Experience operating Datadog across large-scale, multi-account or multi-region AWS environments • Preferred: Experience in high-scale SaaS, cloud-native or security product environments • Preferred: Familiarity with zero-trust architectures, identity-centric security and privileged access management • Preferred: Bachelor’s degree in Computer Science, Engineering, or related field

🏖️ Benefícios

• 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

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