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VP, Cloud Security Operations

Job in Austin, Travis County, Texas, 78716, USA
Listing for: LPL Financial LLC
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 154706 - 257912 USD Yearly USD 154706.00 257912.00 YEAR
Job Description & How to Apply Below

Job Overview

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.

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, Power Shell, 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.
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…
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