Detection and Response Engineer
Modal Labs · New York
CHECKED 16H AGO
Infrastructureonsite$150k–$270k
At a glance
Highlights
- Build high-fidelity detections for attacks and anomalous platform behavior.
- Build automation and playbooks that speed investigations and response.
- Drive post-incident improvements that eliminate whole classes of incidents.
Ideal candidate
Security-minded engineer who loves building automated defenses and learns from every incident. You care about making complex platforms resilient and enjoy partnering with engineers to improve observability.
Requirements
- Experience in detection engineering, incident response, security engineering, or software engineering with 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
- Strong written and verbal communication skills
Lab profile
About Modal Labs
Serverless cloud infrastructure for AI workloads with instant GPU compute.
What they build
- Serverless GPU cloud platform
- Python SDK
- Cloud sandboxes
Known for
- Systems engineering at scale
- ML performance optimization
- Developer-first experience