Senior Detection Engineer (SIEM / Security Observability)

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