Note: The job is a remote job and is open to candidates in USA. Keeper Security, Inc. is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. They are seeking a Senior DataDog Engineer to join their DevOps team, focusing on detection engineering, SIEM operations, and security observability across Keeper’s production and corporate environments.
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
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
Skills
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 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
Experience with SentinelOne, Wiz or related cloud and endpoint security platforms
Experience with Datadog Application Performance Monitoring, Infrastructure Monitoring, distributed tracing or synthetic monitoring
Experience optimizing Datadog ingestion volume, indexing, retention and platform cost
Experience with SOAR, workflow automation or response orchestration
Familiarity with Sigma or other detection-as-code frameworks
Experience operating Datadog across large-scale, multi-account or multi-region AWS environments
Experience in high-scale SaaS, cloud-native or security product environments
Familiarity with zero-trust architectures, identity-centric security and privileged access management
Bachelor's degree in Computer Science, Engineering, or related field
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
This can be a 100% remote position from select locations
Opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro area
Company Overview
Keeper Security is transforming cybersecurity for millions of individuals and thousands of organizations globally. It was founded in 2011, and is headquartered in Chicago, Illinois, USA, with a workforce of 501-1000 employees. Its website is
