Senior Information Security Engineer (Detection, Automation & AI)

We are seeking a Senior Information Security Engineer who views security operations through an engineering lens. In this role, you won't just stare at a pane of glass watching alerts roll in; you will be the architect behind how those alerts are generated, triaged, and automated. You will lead our detection engineering efforts, build robust automation pipelines using SOAR and APIs, and pioneer the integration of Large Language Models (LLMs) to supercharge our incident response and alert-triage workflows. If you love Python, Linux, AWS, and treating security operations as code, this role is for you.

Responsibilities

Design, build, test, and maintain high-fidelity detection logic within our SIEM platform; Map detections to the MITRE ATT&CK framework; Continuously tune alerts to minimize false positives and reduce alert fatigue; Architect and implement automated playbooks within our SOAR platform; Develop custom Python scripts, tools, and integrations leveraging REST APIs; Treat infrastructure and configuration as code; Design and implement workflows that leverage LLMs to automatically analyze, summarize, and add context to incoming security alerts; Build prompt engineering pipelines or agentic workflows; Act as a senior escalation point for security incidents; Monitor and secure workloads across AWS and on-premise environments; Conduct post-incident reviews to identify root causes and build automated preventions/detections

Requirements

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)

Nice to have

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.); Experience as Incident Commander, Incident Handler strongly desired