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Security Engineer - Data Loss Prevention at Mountain View, California, USA
Email: ryan@nityainc.com
https://jobs.nvoids.com/job_details.jsp?id=2269734&uid=
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Nitya,

Nitya software solution

ryan@nityainc.com

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Mandatory Skills: DLP (Data Loss Prevention), Engineering, Netscope, Crowdstrike

This is onsite role and must work from Mountain View CA office only from Day 1.

Role: Security Engineer - Data Loss Prevention
Location: Mountain View CA (100% Onsite)  
C2C

Security Engineer - Data Loss Prevention (DLP) Role |

Must-Have Skills (Non-Negotiable) - DLP
1. Experience in Real-time and proactive tracking of Data Loss incidents.
2. Experience in Designing, deployment, and refining DLP policies.
3. Experience in Securing AWS, Kubernetes, Docker environments against DLP incidents
4. Experience with Netskope, Zscaler, CrowdStrike, CyberArk.
5. Strong background in AWS automation, DevOps/SecOps workflows.
Good-to-Have Skills (Preferred but Not Mandatory) - DLP
1. Knowledge of securing AI-based security models.
2. Experience with Tableau, Qlik Sense, SQL.
3. Familiarity with JIRA, ServiceNow, Salesforce.
4. Experience in security-driven SDLC environments. |

DETAILED JOB DUTIES

Skill Set Security Engineer - Data Loss Prevention (DLP) Role
Must-Have Skills (Non-Negotiable) DLP
Proactive & Real-Time Monitoring of DLP Incidents
Continuous monitoring of security events to detect and respond to data loss threats.
Examples: Implementing real-time alerts and proactive DLP incident tracking.
Tools: Netskope, Zscaler, CrowdStrike, CyberArk (DLP and Privileged Access Management tools).
Identification & Investigation of DLP Incidents
Deep dive analysis into security alerts, insider threats, and potential breaches.
Examples: Using AI/ML to identify threat patterns and analyze root causes of incidents.
Tools: AWS Security Hub, Python, JSON, Jira (for workflow tracking and investigation).
Preventive & Corrective Actions
Developing and implementing preventive security measures to reduce risks.
Examples: Policy enforcement for sensitive data access controls and anomaly detection.
Tools: CyberArk (Privilege Elevation Security), AWS IAM, Security Policies.
Containing & Mitigating DLP Incidents
Rapid response and containment strategies for active security threats.
Examples: Automating incident containment through AI-driven security response.
Tools: CrowdStrike (Threat Intelligence), AWS Lambda (Automated Remediation).
Redesigning & Enhancing DLP Policies
Continuous improvement and adaptation of DLP security policies to evolving threats.
Examples: Regular security audits and policy fine-tuning to minimize insider risk.
Tools: DLP rule configuration in Netskope, Zscaler, and AWS Security Policies.
Automation in Detecting DLP Incidents
Developing and deploying automated DLP detection mechanisms.
Tools: AWS (Lambda, Security Hub, GuardDuty), Python, JSON for automation scripting.

Good-to-Have Skills (Preferred but Not Mandatory) - DLP
AI/ML Security Expertise
Securing AI-driven security systems and automation.
Examples: Leveraging AI for predictive analytics in security threat detection.
Cloud Security & DevSecOps Experience
Implementing security controls within DevOps pipelines.
Examples: Secure SDLC integration using AWS security tools.
Endpoint & Privileged Access Security
Strengthening endpoint protection and access controls.
Tools: CyberArk (Privilege Management), CrowdStrike (Endpoint Securit

Keywords: artificial intelligence machine learning California
Security Engineer - Data Loss Prevention
ryan@nityainc.com
https://jobs.nvoids.com/job_details.jsp?id=2269734&uid=
ryan@nityainc.com
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11:31 PM 19-Mar-25


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Location: Mountain View, California