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Metro location and known employer balanced by niche security specialization produce medium competition.
Role’s deep vulnerability research and detection engineering focus makes cross-industry transferability low, increasing background sensitivity.
Mandated security research, detection engineering, cloud and specific language skills imply high shortlisting strictness.
Lead security research and development of vulnerability and misconfiguration detection content to improve Arctic Wolf’s Exposure Management portfolio.
Design, develop, test, and maintain security detection programs and third-party integrations with enterprise vendor APIs to enhance security coverage.
Collaborate with product and operational teams to operationalize intelligence into detection, triage, and response workflows while using AI-assisted development tools to improve code quality and delivery speed.
Experience in security research and engineering focused on vulnerability and misconfiguration detection and security content development.
Proficiency in backend or scripting languages such as Python, Go, Rust, or Bash, and experience with relational or non-relational databases like PostgreSQL or MongoDB.
Knowledge of cloud environments (AWS), container technologies (Docker, Kubernetes), and Infrastructure as Code.
Work Experience Required: Not explicitly mentioned in the JD.
Strong expertise in applying security research methodologies and frameworks such as OWASP Top 10, MITRE ATT&CK, and CIS benchmarks to detection content.
Capability to independently research complex security problems and develop scalable, secure detection solutions across multiple technologies.
Experience collaborating with cross-functional teams to translate security intelligence into operational detection and response processes.