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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 .
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
Keeper 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.
Classification: Exempt
Keeper Candidate Privacy Notice
This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan).
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)
Voluntary Diversity and Equal Opportunity Information
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
Note - diversity and equal opportunity data is not shared with hiring managers.
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 store your data
Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place.
International Transfers
Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws.
Security
We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.
Retention
We keep your data for 24 months from your last application activity, then delete or anonymize it.
Exceptions:
You opt into our talent database for further retention by providing consent (extended retention)
You're hired (transfers to employee records)
Your Rights
You have the following rights and can contact us at the email below to exercise them:
Access, correct, or delete your data, subject to applicable law and retention requirements
Object to or restrict processing
Withdraw consent (where applicable)
Request data portability
Lodge a complaint with your data protection authority
If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law.
When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights.
Automated Decisions
Keeper does not make hiring decisions using solely automated processing.
Contact - Candidates can send privacy questions to: