Description

Keeper Security is seeking a Senior Detection Engineer to advance detection engineering, SIEM operations, and security telemetry across a globally distributed, cloud-native environment. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas.

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 advance 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

As a Senior Detection Engineer, you will build and operate the detection and telemetry capabilities that power security visibility across Keeper’s production and corporate environments. This role is focused on SIEM engineering, detection logic, alert tuning, telemetry quality, and security observability. You 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. This is a hands-on engineering role for someone who can improve signal quality, reduce noise, and turn security data into operational value.

Responsibilities

Design, build, and maintain detection and telemetry capabilities across Datadog, SentinelOne, and Wiz
Develop, test, and tune high-fidelity detection rules aligned to real-world attack scenarios and adversary behaviors
Continuously improve alert quality by reducing false positives, eliminating noise, and increasing detection accuracy
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 retention pipelines
Automate onboarding of new data sources and improve telemetry coverage across production and corporate environments
Correlate signals across SIEM, EDR, cloud, identity, and security tooling to improve detection depth and investigation quality
Partner with Security Operations to improve triage workflows, incident response readiness, and escalation quality
Build dashboards, analytics, and reporting that support operational decision-making across Security, SRE, and Engineering
Map and maintain detection coverage against MITRE ATT&CK and help identify visibility 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

Requirements

5–8+ years of experience in detection engineering, SIEM engineering, security engineering, or security observability
Hands-on experience with SIEM, security analytics, or observability platforms, such as Datadog, SentinelOne, Splunk, Microsoft Sentinel, Elastic, or similar tools
Experience building, tuning, and maintaining detection rules, correlation logic, and alerting workflows
Strong understanding of security telemetry across cloud, endpoint, identity, and application environments
Experience with log parsing, normalization, enrichment, and pipeline management
Strong knowledge of cloud environments, with AWS preferred
Proficiency in scripting or automation using Python, PowerShell, or similar
Solid understanding of modern detection strategies, attacker behaviors, and the MITRE ATT&CK framework
Ability to work cross-functionally with Security Operations, Engineering, Infrastructure, and SRE teams

Preferred Qualifications

Experience with Datadog Cloud SIEM, SentinelOne, Wiz, or similar modern security platforms
Experience with observability concepts including logs, metrics, traces, and instrumentation
Experience with SOAR, workflow automation, or response orchestration
Familiarity with Sigma or other detection-as-code frameworks
Experience in high-scale SaaS, cloud-native, or security product environments
Familiarity with zero-trust architectures, identity-centric security, and privileged access management

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

Senior Detection Engineer (SIEM / Security Observability)