Senior Datadog Security & Observability Engineer at Keepersecurity — Remote

Description

Keeper 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 Keeper

Keeper 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 Job

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.

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

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 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 Qualifications

•

• 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

Classification: Exempt

Keeper Candidate Privacy Notice

• Data We Collect

Information You provide:

• Contact details, CV/resume, cover letter
• Employment history, qualifications, work eligibility
• Application responses and uploaded documents

Information We generate:

• Interview notes, assessments, communications
• Scheduling information

Information From Others:

• Recruiter/referral information who submit your profile
• References (with your consent, before final offer)
• Public professional profiles
• Background verification (post offer)

• We 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 Data
• Assess your application and suitability
• Manage interviews and recruitment workflow
• Consider 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 Basis
• Legitimate 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 With

Internal:

• HR, hiring managers, interviewers*, IT support for system administration

Third Parties:

Service providers who assist with:

• Applicant tracking, recruitment systems and assessment providers
• Background verification vendors (post offer)
• Recruitment agencies (where applicable)
• Tools to support communication, collaboration and to securely stor