Modal Detection and Response Engineer at Modal focused on building systems to identify, investigate, and respond to threats across the platform. Role emphasizes automation and leveraging AI to improve security operations.
Responsibilities
We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform.
This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness.
You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient.
Detection Engineering
Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems
Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents
Improve visibility across cloud infrastructure, containers, identity systems, and production services
Incident Response
Lead or participate in investigations spanning production infrastructure, cloud environments, and internal systems
Build playbooks and automation that reduce investigation time and improve response consistency
Drive post-incident improvements that eliminate entire classes of future incidents
Security Tooling & Automation
Qualification
Experience in detection engineeringExperience with SIEMExperience with threat hunting
Required
Experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus
Strong software engineering skills with experience building production systems
Experience investigating security incidents in cloud-native or distributed environments
Familiarity with modern cloud infrastructure, Kubernetes, Linux, and networking
Experience building detections using logs, telemetry, behavioral signals, or large-scale event data
Strong SQL skills for investigating security events and developing detections
Interest in applying AI and LLMs to detection, investigation, and response, including understanding emerging threats involving AI-powered systems
Strong written and verbal communication skills
Preferred
Experience building AI- or LLM-powered security tooling
Experience with SIEM, SOAR, or EDR platforms
Experience with Kubernetes security or large-scale cloud infrastructure
Experience with threat hunting, malware analysis, or digital forensics
Experience contributing to security operations in a high-growth engineering organization
