Security Engineer III - Data Loss Prevention (DLP)

About the Role

We are seeking a Security Engineer III specializing in Data Loss Prevention (DLP) to lead the deployment, management, and optimization of enterprise data protection solutions. This role is responsible for safeguarding sensitive information across cloud, endpoint, web, and email environments.

You will take ownership of DLP platforms, strengthen technical controls, reduce false positives, and ensure alignment with regulatory requirements such as GDPR, HIPAA, and CCPA. This position offers the opportunity to work cross-functionally with IT, DevOps, Compliance, and Incident Response teams while mentoring junior engineers and influencing security strategy.

Key Responsibilities

• Deploy, configure, and maintain enterprise Data Loss Prevention (DLP) platforms

• Design, implement, and fine-tune DLP policies to detect and prevent unauthorized data exfiltration

• Optimize detection logic to reduce false positives and improve alert quality

• Monitor platform health and performance, troubleshoot issues, and maintain operational stability

• Support incident response efforts and collaborate with threat detection teams

• Conduct threat modeling and vulnerability remediation initiatives

• Automate security configurations using scripting and infrastructure-as-code tools

• Enrich alert workflows with contextual data and refine response playbooks

• Translate technical risks into clear, actionable guidance for stakeholders

• Mentor junior security engineers and contribute to continuous process improvement

Required Qualifications

• 3–5+ years of experience in Information Security or Data Protection

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

• Hands-on experience with DLP tools such as:

  • Symantec

  • Microsoft Purview

  • Zscaler

  • Palo Alto DLP platforms

• Strong understanding of data protection methodologies including:

  • Encryption (data at rest and in transit)

  • Data masking

  • Tokenization

• Experience working with data classification frameworks

• Working knowledge of regulatory and compliance standards (GDPR, HIPAA, CCPA)

• Familiarity with cloud, network, and application security principles

Preferred Qualifications

• Experience with automation, scripting, and infrastructure-as-code

• Background in threat modeling and vulnerability management

• Experience supporting incident response operations

• Strong analytical and problem-solving skills

• Ability to communicate complex technical concepts to non-technical stakeholders

Compensation & Benefits

We offer a competitive base salary, annual performance bonus eligibility, and comprehensive benefits including:

• Health, dental, and vision coverage

• Retirement plan with employer contributions

• Generous paid time off

• Professional development resources

• Flexible work options where applicable