Overview 

We are seeking a Senior Security Engineer to protect enterprise systems, data, and cloud environments from evolving cyber threats. This role focuses on advanced security engineering, threat detection, and AI-driven security capabilities. You will serve as a senior technical resource, leading complex investigations and improving detection and response through automation and AI. 

Key Responsibilities 

• 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. 

Qualifications 

Required 

• 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. 

Preferred 

• 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. 

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