
Senior Security Engineer | Data Loss Prevention (DLP)
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Overview
Job Description
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
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