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Capital Group · 15 hours ago

Data Loss Prevention Engineer III

Irvine

Full-time

Onsite

Mid, Senior Level

$126K/yr - $201K/yr

3+ years exp

Capital Group is a leading investment management firm committed to fostering a strong sense of belonging in a respectful workplace. As a Data Loss Prevention Engineer III, you will lead the deployment and management of data loss prevention tools to safeguard sensitive information, ensuring compliance with regulations and collaborating with various teams to enhance security measures.

Financial Services

Comp. & Benefits

Responsibilities

You are responsible for deploying, configuring, and maintaining enterprise Data Loss Prevention (DLP) platforms to safeguard sensitive information across cloud, web, endpoint, and email channels

You create and tune DLP policies to detect and prevent unauthorized data exfiltration

You automate security controls using scripting and infrastructure-as-code, ensuring alignment with regulatory and internal standards

You ensure the health and operational stability of the DLP platform by monitoring performance, troubleshooting issues, and executing standard operational procedures to maintain reliability and effectiveness

You support incident response efforts and collaborate closely with incident response and threat detection teams to continuously improve DLP operations

You tune policies based on real-world detection patterns, enrich alert workflows with contextual data, and refine playbooks to reduce false positives

Qualification

Data Loss Prevention toolsData protection methodsData privacy regulationsCloud securityScriptingInfrastructure-as-codeTeam collaborationMentoring

Required

Minimum 3-5 years in data protection or in Information Security

A Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent work experience)

You have demonstrated proficiency with DLP tools and technologies such as Symantec, Microsoft, Zscaler, or Palo Alto DLP platforms

You possess in-depth knowledge of data protection methods, including encryption (for data at rest and in transit), data masking, and tokenization techniques

You have a strong understanding of data privacy regulations and compliance standards (e.g., GDPR, HIPAA, CCPA)

You are experienced with data classification frameworks and applying controls based on data sensitivity