Senior Datadog Security & Observability Engineer
New
K
Keeper SecurityCybersecurity Software
Remote, USFull-TimeSenior
SalaryAbove market annual bonuses
Apply NowOpens the employer's application page
Job Details
- Experience
- 4+ years
- Required Skills
- AWSPythonTerraformDatadog
Requirements
- 4+ 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 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
- Solid understanding of modern detection strategies, attacker behaviors and the MITRE ATT&CK framework
- Strong communication skills and the ability to collaborate across Security Operations, Engineering, Infrastructure and SRE teams
Responsibilities
- 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
- Correlate signals across Datadog, EDR, cloud, identity and security platforms to improve detection depth and investigation quality
- Build Datadog dashboards, monitors, analytics and reporting that support operational decision-making across Security, SRE and Engineering
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