Senior Information Security Engineer (Detection, Automation AI)

Detection Engineering & SIEM Operations

• Design, build, test, and maintain high-fidelity detection logic within our SIEM platform.
• Map detections to the MITRE ATT&CK framework to ensure comprehensive visibility across threat vectors.
• Continuously tune alerts to minimize false positives and reduce alert fatigue for the operations team.

Automation & Tooling (SOAR & APIs)

• Architect and implement automated playbooks within our SOAR platform to drive down Mean Time to Respond (MTTR).
• Develop custom Python scripts, tools, and integrations leveraging REST APIs to connect disparate security tools and data sources.
• Treat infrastructure and configuration as code, ensuring automated deployments and consistency.

Next-Gen Triage & AI Integration

• Design and implement workflows that leverage LLMs (Large Language Models) to automatically analyze, summarize, and add context to incoming security alerts.
• Build prompt engineering pipelines or agentic workflows that assist analysts during active investigations, drastically cutting down initial triage time.

Incident Response & Cloud Infrastructure

• Act as a senior escalation point for security incidents, guiding the team through containment, eradication, and recovery according to established Incident Response procedures.
• Monitor and secure workloads across AWS and on-premise environments with various operating systems.
• Conduct post-incident reviews to identify root causes and build automated preventions/detections to ensure the same incident doesn't happen twice.

• 8+ years of dedicated experience in Information Security, Security Operations, or DevSecOps engineering roles.
• Deep, hands-on experience with either Splunk (SPL, Enterprise Security) or ElasticSIEM (ES|QL, KQL, Kibana) for log analysis and detection creation.
• Strong proficiency in Python and a proven track record of building security tools, scripts, and automation pipelines via APIs.
• Proven experience designing and maintaining automated playbooks in a modern SOAR platform (e.g., Cortex XSOAR, Tines, etc.)
• Practical experience (or highly advanced personal projects) utilizing LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock) to ingest, process, or summarize textual data—specifically applied to security logs or triage workflows.
• Solid understanding of core AWS security services (GuardDuty, CloudTrail, IAM, VPC Flow Logs).
• Strong familiarity with industry-standard Incident Response lifecycles (NIST SP 800-61, SANS PICERL). Experience as an Incident Commander, Incident Handler strongly desired.

• Certifications such as CISSP, GCIA, GCIH, or AWS Certified Security - Specialty.
• Experience with Infrastructure as Code (IaC) tools like Terraform.
• Contributions to the open-source security community (tools, Sigma rules, etc.).