Senior Security Engineer – North Carolina, Florida, South Carolina Preferred

Arch Capital Group Ltd.

Senior Security Engineer developing and deploying AI-driven security capabilities. Leading investigations and enhancing security automation and threat detection for enterprise systems.

Posted 7/1/2026full-timeRemote • Florida, North Carolina, South Carolina • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Design, build, and deploy agentic AI workflows and intelligent autonomous playbooks to automate Tier-1/2 alert triage, context enrichment, and incident response.
Develop and tune complex detection logic across SIEM, EDR/XDR, and cloud platforms, focusing on behavioral analytics and anomaly detection.
Utilize Python to build custom security tools, integrate disparate security APIs, and maintain high-quality, reusable codebases for security orchestration (SOAR).
Lead threat hunting initiatives and serve as a Tier-3 escalation resource for complex, high-severity security incidents.
Analyze attacker tactics, techniques, and procedures (TTPs) to map coverage against the MITRE ATT&CK framework and proactively close gaps.
Secure cloud environments (AWS, Azure, or GCP), with a specific focus on auditing, monitoring, and protecting production AI/LLM pipelines and workloads.
Mentor junior team members, conduct code reviews for automation scripts, and promote robust software engineering best practices within the security team.

Requirements

What you’ll need

7 + years of cybersecurity experience with a focus on security or detection engineering
3 + years in a Sr. Security Engineer role
Deep technical knowledge of incident response, threat hunting, and adversary TTPs.
Experience implementing and managing detection logic across enterprise SIEM, EDR/XDR, or cloud-native security tools.
Experience securing and monitoring cloud infrastructure (AWS, Azure, or GCP).
Demonstrated experience building functional tools in Python/Powershell, interacting with REST APIs, and writing clean, structured code (experience with Git and CI/CD pipelines preferred).
Bachelor’s degree in Computer Science, Cybersecurity, or Engineering.
Practical understanding of building or implementing LLM-based agents, prompt engineering, and integrating AI models into automated workflows and custom API integrations.
Familiarity with AI/LLM-specific security vulnerabilities (e.g., OWASP Top 10 for LLMs, prompt injection, data poisoning, model evasion).
Experience with SIEM, EDR/XDR, SOAR, or identity security platforms
Advanced certifications (e.g., CISSP, GIAC GCIA/GCIH, or cloud security certifications).
Master’s degree in Computer Science, Cybersecurity, IT Management with an emphasis on AI/Automation.

Benefits

Comp & perks

multiple medical plans plus dental, vision and prescription drug coverage
competitive 401k with generous matching
PTO beginning at 20 days per year
up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Off
basic Life and AD&D Insurance
Short and Long-Term Disability
Paid Parental Leave of up to 10 weeks
Student Loan Assistance and Tuition Reimbursement
Backup Child and Elder Care
and more

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Incident ResponseThreat HuntingDetection LogicBehavioral AnalyticsAnomaly DetectionPythonREST APIsSecurity OrchestrationLLM-Based AgentsCode Review

Soft Skills

MentoringCollaborationCommunication

Certifications

CISSPGIAC GCIAGIAC GCIHCloud Security Certifications