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Cyber Security Engineer II

Job

Spectraforce

Remote

Full-Time

Posted 6 days ago (Updated 3 days ago) • Actively hiring

Expires 7/22/2026

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Job Description

Job Title
  • Cyber Security Engineer II Location
  • Columbia, SC (
Partial Onsite:
Tuesday, Wednesday, Thursday Onsite and as Needed) Duration
  • 12
Months Hours:
8AM
  • 5PM•M-F•Possible, but likely rare: overtime, travel, weekends, off hours C2 Eligibility is
Required Required Education:
Bachelor's degree in Computer Snformation Technology or other job related degree. or 4 years of job related work experience or 2 years of job related experiencience, Ice 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.
Interviews:
In Person preferred
  • Remote ok
The Team:
Cybersecurity Operations Center (CSOC)
  • 13 people, half analysts, half engineers.
Currently continuing to integrate new SIEM with multiple platforms and roll out new AI security initiatives
Required:
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).
Nice To Have:
Previous SOC analyst/engineer experience Certifications related to AI/Machine Learning Things we are looking for person to do: 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.
Soft Skills:
Communication skills and leadership skills. Will be working across teams that include execs, architects, senior technical staff
  • Not looking for auditors or compliance specialists.
This is a very technical hands on AI focused engineering position