Cyber Security Engineer II

DP PROFESSIONALS INC
Columbia, SC, United States
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Cisco PIX Cyber Security Databases Continuous Integration Information Leak Prevention Github Intrusion Detection and Prevention Virtual Private Networks (VPN) Python (Programming Language) Network Security Machine Learning
+14 more
Microsoft Office Public Key Infrastructure Kusto Query Language Security Information and Event Management Wide Area Networks Web Applications Scripting In-Plane Switching (IPS) Firewalls (Computer Science) Gitlab Information Technology RSA SecurID Network Server Vulnerability Analysis

Job description

  • The Cyber Security Engineer II will join the Cybersecurity Operations Center with 13 people, half analysts, half engineers for a hands-on AI focused engineering position.
  • This team is currently continuing to integrate new SIEM with multiple platforms and roll out new AI security initiatives, * Detection catalog in production: Publish an AI threat detection catalog mapped to telemetry sources and deploy an initial prioritized detection set with a monthly tuning cadence.
  • Faster, cleaner triage: Reduce repeat false positives and improve time-to-triage/time-to-escalation for AI-related alerts through enrichment and tuning.
  • Monitored guardrails: Stand up baseline monitoring and anomaly thresholds for approved AI tools and deliver recurring executive-ready reporting on risky usage patterns and remediation.
  • Validated response capability: Publish AI-focused IR runbooks and validate via tabletop exercises; feed lessons learned into playbooks and detection tuning.

Requirements

  • Understanding of GitHub or Gitlab, and CICD pipelines
  • Security operations/detection engineering/IR experience with SIEM/SOAR workflows; automation/scripting skills (e.g., Python, KQL/SPL).
  • Working knowledge of AI/ML risk patterns (prompt injection, data leakage, and over-trust of outputs).
  • Communication and leadership skills. Will be working across teams that include execs, architects, senior technical staff

Required Education:

  • Bachelor’’s degree in Computer Science, Information Technology or other job-related degree;
  • OR 4 years of job-related work experience;
  • OR 2 years of job-related experience plus an associate’s degree in Computer Science, Information Technology or other job-related degree.

Required Work Experience:

  • 6 years of job-related technical experience.

Required Software and Other Tools:

  • Advanced proficiency with applicable IT Security tools (software and hardware)
  • Microsoft Office

Preferred Qualifications:

  • Previous network engineer experience
  • Previous SOC analyst/engineer experience
  • Certifications related to AI/Machine Learning

Preferred Work Experience:

  • Experience in network security (Cisco ASA, IPS, VPN, RSA SecurID, PKI, cryptography), security controls for LAN/WANs, client servers, web-based systems, and databases.
  • Experience with configuration of security devices such as firewalls, intrusion prevention, patch deployment, and risk assessment/ vulnerability scanners.

Preferred Licenses and Certificates:

  • CISA, CISM, CISSP

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