Tenex.AI, Inc logo

Senior Threat Detection Engineer

Job Overview

Location

Kansas City, MO SOC

Job Type

Full-time

Category

Security Engineer

Date Posted

April 22, 2026

Full Job Description

đź“‹ Description

  • • Senior Threat Detection Engineer role focused on proactively identifying and mitigating security threats through advanced detection rule development in Google Security Operations (SecOps) using YARA-L.
  • • Day-to-day responsibilities include designing, developing, implementing, and maintaining custom detection rules, analyzing large datasets of security logs, collaborating with Security Analysts to tune detection logic, contributing to security documentation, evaluating new security tools, automating detection creation and threat intelligence gathering, and mentoring junior team members.
  • • Tenex.AI, Inc is an AI-native, automation-first Managed Detection and Response (MDR) provider backed by top-tier investors including Andreessen Horowitz, Crosspoint Capital Partners, and Shield Capital, with a mission to revolutionize cybersecurity through AI-driven solutions and a strong emphasis on in-person collaboration and culture.
  • • The role offers the opportunity to work with cutting-edge AI-driven cybersecurity technologies, expand expertise in threat detection and AI applications in security, contribute to a rapidly growing startup’s mission, and grow professionally through mentorship and hands-on experience with advanced SecOps platforms and threat intelligence integration.

Skills & Technologies

Python
AWS
Azure
GCP
Senior
Onsite
Degree Required

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About Tenex.AI, Inc

Tenex.AI is a cybersecurity company that offers an AI-native managed detection and response (MDR) platform. It combines automated threat detection, risk management, and incident response capabilities with human oversight to identify, contain, and remediate security incidents in real time. Tenex integrates with cloud and security stacks from providers like Google, Microsoft, and others to reduce response times and streamline operations.

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