| Security Engineer - Data Loss Prevention at Mountain View, California, USA |
| Email: ryan@nityainc.com |
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https://jobs.nvoids.com/job_details.jsp?id=2235284&uid= From: Nitya, Nitya software solution ryan@nityainc.com Reply to: ryan@nityainc.com Role: Security Engineer - Data Loss Prevention Location: Mountain View CA (100% Onsite) Remote NOT allowed 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 Security). Keywords: artificial intelligence machine learning California Security Engineer - Data Loss Prevention ryan@nityainc.com https://jobs.nvoids.com/job_details.jsp?id=2235284&uid= |
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| 01:52 AM 07-Mar-25 |