Senior Security Engineer - AI

CentralReach

4d•Hybrid

About The Position

CentralReach is seeking a Senior Security Engineer with a strong focus on AI-driven security to join their team. This role involves designing and evolving secure architectures for their software solutions, leveraging AI to accelerate vulnerability detection. The engineer will be responsible for developing intelligent, automated security capabilities to identify, prioritize, and respond to threats in their cloud environment. This includes using deep expertise in cloud security (AWS) and modern AI techniques to enhance detection, reduce response times, and uncover risks. The role requires building and integrating AI-powered tooling, improving security monitoring, and enabling real-time insights. Collaboration with security, engineering, and IT teams is essential to embed AI-enhanced security practices and transform security operations through automation and AI.

Requirements

3–7+ years of experience in Security Engineering, Detection Engineering, or Incident Response
Hands-on experience with SIEM (e.g., Splunk, Datadog, Sentinel) and/or EDR platforms
Strong understanding of security fundamentals (networking, OS, cloud security, identity)
Experience with scripting or programming (Python preferred)
Proven experience using GenAI tools (e.g., Claude, Cursor, ChatGPT) in security workflows

Responsibilities

Design, implement, and continuously improve detection rules across SIEM, EDR, and cloud security platforms
Develop automated response playbooks to reduce mean time to detect (MTTD) and respond (MTTR)
Leverage GenAI tools (e.g., Anthropic Claude, Cursor) to accelerate log analysis and threat triage
Summarize and enrich security alerts and incident data
Generate detection logic (e.g., Sigma rules, queries, scripts)
Assist in root cause analysis and investigation workflows
Integrate GenAI into SOC workflows via APIs and internal tooling
Enhance detection pipelines using AI-assisted enrichment and correlation
Analyze logs across endpoints, cloud environments, SaaS platforms, and networks