Cyber Security Automation Engineer

GCS Recruitment; Mount Laurel Township (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

GCS Recruitment seeks a Senior Security Automation Engineer to build AI-driven security automation solutions within a CSOC. You will design, develop, and deploy production-grade automation and AI-powered workflows to boost threat detection and incident response.

The role emphasizes hands-on engineering, agentic AI, and scalable automation across threat intel, hunting, and investigations. Collaborative, production-focused, with guardrails and testing for reliability.

Qualifications

• 8+ years of experience in software or security engineering.
• Proven ability to build production-grade automation and AI-powered security solutions.
• Experience with Python and integrating APIs, tools, and data sources.

Responsibilities

• Design, develop, deploy, and maintain production-grade security automation and AI-powered workflows.
• Build AI agents capable of accessing security data, using tools, maintaining context, and executing multi-step tasks.
• Automate processes across Threat Intelligence, Threat Hunting, Detection Engineering, Security Investigations, Incident Response, and Security Data Analysis.
• Apply advanced AI techniques including Tool Calling, Retrieval-Augmented Generation, Structured Generation, Planning & Reflection, Verification, Model Routing, and Multi-Agent Coordination.
• Design memory, context management, task recovery, escalation, and human approval mechanisms.

Skills

Python

Security Automation

AI/ML

LLMs

Agentic AI

APIs

Kubernetes

Distributed Systems

Education

B.S. in CS/Cybersecurity

Tools

SOAR

SIEM

Job description

Role: Senior Security Automation Engineer

Type: Contract

Duration: 12+ months

Location: Mt. Laurel, NJ

Overview

Seeking a Senior Security Automation Engineer to build AI-driven security automation solutions within a Cyber Security Operations Center (CSOC). This is a hands‑on engineering role focused on developing intelligent agents and automated workflows that improve threat detection, investigations, and incident response.

Key Responsibilities

• Design, develop, deploy, and maintain production-grade security automation and AI-powered workflows.
• Build AI agents capable of accessing security data, using tools, maintaining context, and executing multi-step tasks.
• Automate processes across:
  • Threat Intelligence
  • Threat Hunting
  • Detection Engineering
  • Security Investigations
  • Incident Response
  • Security Data Analysis
• Apply advanced AI techniques including:
  • Tool Calling
  • Retrieval-Augmented Generation (RAG)
  • Structured Generation
  • Planning & Reflection
  • Verification
  • Model Routing
  • Multi-Agent Coordination
• Design memory, context management, task recovery, escalation, and human approval mechanisms.
• Reduce false positives and operational noise while improving response speed and consistency.
• Develop security controls and guardrails for AI systems.
• Create testing and evaluation frameworks to measure AI accuracy, reliability, security, and performance.
• Collaborate with security and engineering teams to translate operational challenges into scalable automation solutions.
• Take solutions from prototype to production and continuously optimize them.

Required Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field (or equivalent experience).
• 8+ years of experience in software engineering, security engineering, automation, AI/ML, or related technical roles.
• Strong hands‑on software development experience.
• Experience building production‑grade automation or AI‑powered applications.
• Experience with LLMs, Generative AI, or Agentic AI technologies.
• Strong programming skills, particularly in Python or other modern languages.
• Experience integrating APIs, tools, data sources, and external systems.
• Understanding of AI agent concepts including tool use, retrieval, planning, memory, context management, and verification.
• Strong analytical, problem‑solving, and scalable system design skills.

Preferred Qualifications

• Experience building agentic AI systems or autonomous security workflows.
• Experience with SOAR, SIEM, security automation, threat intelligence, threat hunting, detection engineering, or incident response.
• Knowledge of RAG, vector databases, embeddings, semantic search, and knowledge retrieval.
• Experience with multi‑agent architectures, AI orchestration frameworks, and AI evaluation/testing frameworks.
• Familiarity with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.
• Experience implementing human‑in‑the‑loop controls and approval workflows.
• Proven ability to take AI solutions from proof of concept (POC) to production deployment.
• Understanding of enterprise AI security controls and best practices.

GCS is acting as an Employment Business in relation to this vacancy.