Principal of Cloud Security

LPL Financial•San Diego, CA

14d•$154,706 - $257,912•Hybrid

About The Position

LPL’s Security Architecture & Engineering organization is seeking a highly skilled and technically focused individual contributor to drive the integration, optimization, interoperability, and cloud operational effectiveness of enterprise security technologies. This role serves as a technical leader responsible for ensuring enterprise security technologies are engineered, integrated, optimized, and operationally aligned across cloud and enterprise environments. The position operates as a strategic integration lead across multiple engineering teams supporting capabilities such as EDR, Email Security, SIEM, Log Management, Secure Browser, CNAPP platforms, IDS/IPS, DLP, WAF, Firewalls, and AI Security technologies. The role focuses on advancing cloud and enterprise security readiness through platform integration, telemetry optimization, detection alignment, logging strategy, automation engineering, and interoperability across the broader security ecosystem.

Requirements

10+ years of experience in cybersecurity engineering, cloud security engineering, security architecture, or enterprise security operations
5+ years of experience leading or coordinating large-scale security engineering initiatives across multiple domains
5+ years of experience with enterprise security technologies including SIEM, EDR/XDR, log management, email security, DLP, IDS/IPS, WAF, firewalls, and cloud security platforms
2+ years of experience in cloud telemetry engineering, event normalization, log pipeline optimization, and SIEM ingestion strategies
2+ years of experience designing and optimizing cross-platform integrations and interoperability frameworks
Experience developing automation workflows using Python, PowerShell, Go, APIs, or orchestration frameworks
Strong understanding of detection engineering, telemetry analysis, cloud logging architectures, and security analytics principles
Experience improving operational readiness and integration maturity across enterprise security platforms
Experience working in regulated enterprise environments, preferably within financial services
Experience with cloud and hybrid infrastructure security architectures
Strong understanding of cloud security engineering best practices, integration methodologies, and platform engineering strategies
Strong communication skills with the ability to translate complex technical concepts into actionable outcomes

Nice To Haves

Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Information Technology, or related field
Industry certifications such as CISSP, CCSP, GIAC, or AWS Security Specialty
Experience with AI-assisted engineering and automation platforms
Experience with SOAR platforms and orchestration technologies
Familiarity with data engineering, telemetry pipelines, observability frameworks, and security analytics platforms
Experience optimizing cloud logging costs and SIEM efficiency models
Demonstrated success leading cross-functional platform consolidation and engineering optimization initiatives
Experience implementing automation-first engineering strategies and infrastructure-as-code practices

Responsibilities

Serve as a cross-functional engineering lead responsible for improving interoperability, integration, and cloud operational effectiveness across enterprise security technologies.
Partner with platform engineering teams to improve platform integration, telemetry quality, logging consistency, detection coverage, automation capabilities, operational scalability, and overall cloud security readiness.
Work across a broad security technology stack including endpoint detection and response (EDR), email security platforms, SIEM and log management systems, secure browser technologies, cloud security platforms, IDS/IPS, DLP, WAF, firewalls, and AI security and automation platforms.
Perform cloud security capability mapping and cross-platform gap analysis to identify visibility gaps, detection gaps, telemetry deficiencies, redundant tooling, integration weaknesses, logging inefficiencies, and automation opportunities.
Develop engineering strategies that enhance interoperability and readiness across cloud and enterprise security platforms.
Optimize SIEM ingestion pipelines, cloud logging strategies, event normalization, telemetry enrichment, and routing mechanisms to improve detection fidelity, signal-to-noise ratio, data quality, cost efficiency, visibility, and platform scalability.
Build redundancy strategies across cloud and enterprise security controls to increase resiliency and reduce single points of failure.
Ensure security tooling integrations are validated, optimized, and aligned with enterprise cloud security engineering standards and best practices.
Drive automation initiatives to reduce engineering maintenance overhead and improve operational consistency across security platforms.
Coordinate technical initiatives across AI Engineering, Log Management Engineering, Security Platform Engineering, and Engineering Systems Maintenance to ensure alignment and execution.
Develop enterprise engineering standards and integration patterns for telemetry, logging architectures, event normalization, alert enrichment, automation workflows, and platform interoperability.
Partner with Security Operations, Infrastructure Engineering, Architecture, and Cloud Engineering teams to align solutions with enterprise operational security requirements.
Develop and maintain automation tooling using Python, PowerShell, APIs, infrastructure-as-code, and orchestration platforms.
Lead technical assessments and onboarding of new cloud security technologies, integrations, and engineering enhancements.
Ensure alignment of cloud security technologies with regulatory, audit, governance, and operational requirements.
Provide technical leadership and guidance across platform integration, optimization initiatives, and engineering strategy execution.
Communicate integration strategy, engineering priorities, and optimization roadmaps to stakeholders and leadership.
Maintain awareness of emerging technologies including AI-driven security, telemetry engineering practices, detection engineering advancements, and integration methodologies.
Drive engineering simplification and operational efficiency through consolidation, automation, telemetry optimization, and integration standardization.