Lead Cybersecurity Engineer – SIEM/AI

Mobility

. Lead the ongoing maturity and optimization of the Google SecOps platform .

Posted 10/21/2026full-timeUnited StatesSenior💰 $112,000 - $168,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in optimizing and engineering enterprise SIEM platforms, particularly Google SecOps, with a focus on detection engineering, automation, and data quality improvements. Proven ability to enhance operational effectiveness through AI-driven processes and collaboration with cross-functional teams.

Highest-signal resume keywords

Google SecOps ExpertiseDetection EngineeringAI-Driven AutomationPython ProficiencySIEM Platform Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Detection Rule DevelopmentParser DevelopmentLog OnboardingData NormalizationOperational EffectivenessThreat Intelligence IntegrationData Pipeline MaintenanceAlert Triage ImprovementMetrics TrackingSecurity Telemetry Understanding

Soft Skills

Analytical SkillsProblem-Solving SkillsWritten Communication SkillsVerbal Communication Skills

Industry Keywords

Cyber DefenseSecurity OperationsIncident ResponseThreat HuntingAutomation Adoption

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead the ongoing maturity and optimization of the Google SecOps platform
Improve detection coverage, data quality, operational effectiveness, and overall SIEM capabilities
Design, build, tune, and maintain detection rules, parsers, data pipelines, and log integrations
Develop and enhance high-confidence detection content with Threat Intelligence and Cyber Defense teams
Evaluate Cyber Defense workflows and streamline operations through AI-driven processes and automation
Design and implement AI-assisted workflows, tools, and custom agents to improve analyst efficiency
Support AI-driven alert triage by improving the quality, consistency, and context of data and detections
Build integrations, automations, and enrichment capabilities to reduce manual effort and accelerate investigations
Define and track metrics including detection effectiveness, false-positive reduction, automation adoption, and analyst productivity
Create and maintain documentation for detections, engineering solutions, workflows, and operational processes
Partner with Security Operations, Threat Intelligence, Incident Response, and Engineering teams

Requirements

What you’ll need

6+ years of hands-on experience engineering and optimizing enterprise SIEM platforms
Experience implementing and maturing Google SecOps or a comparable SIEM solution
Strong expertise in Google SecOps, including detection engineering, parser development, log onboarding, data normalization, and platform administration
Proven record of improving SIEM effectiveness through expanded detection coverage, tuning, and data quality improvements
Experience applying AI and automation within security operations, including alert triage, investigations, threat hunting, case management, or other Cyber Defense workflows
Ability to evaluate existing processes and implement solutions that reduce manual effort
Proficiency in Python or similar scripting languages
Strong understanding of detection engineering, attacker tactics and techniques, security telemetry, and the end-to-end security data lifecycle
Strong analytical, problem-solving, written, and verbal communication skills
Currently authorized to work in the United States
Will not require employer sponsorship now or in the future

Benefits

Comp & perks

Competitive compensation package, including incentive opportunities where applicable
Comprehensive health and wellness benefits for employees and eligible dependents
Retirement savings programs, including company matching contributions where available
Employees may be eligible for long-term incentives
Reasonable accommodations throughout the hiring process and employment for qualified individuals with disabilities