Senior Datadog Security & Observability Engineer

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

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).

1. 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

2. 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

3. 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

4. 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.

5. 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.

6. Security

We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards.

7. 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)

8. 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.

9. Automated Decisions

Keeper does not make hiring decisions using solely automated processing.

10. Contact - Candidates can send privacy questions to: privacy@keepersecurity.com