Detection & Response Engineer — AI-Driven Security

Doist; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Modal is seeking a Detection & Response Engineer to build scalable security systems across our platform. Youll design detections, incident response workflows, and tooling, leveraging AI to speed investigations and reduce toil.

Work closely with infrastructure, platform, and security teams to improve visibility, response consistency, and post-incident improvements. Strong software engineering and cloud-native experience are required.

Qualifications

• 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.

Responsibilities

• 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: Build internal tooling that improves detection, investigation, and response workflows.
• Leverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry.
• Improve the collection, quality, and usability of security telemetry across the platform.
• Engineering Partnership: Partner with engineering teams to ensure new systems are observable and secure by default.
• Help teams instrument services with the telemetry needed for effective detection and response.
• Drive security improvements that make the platform easier to defend over time.

Skills

Detection engineering

Incident response

Security engineering

Cloud-native environments

Kubernetes

Linux

Networking

SQL

AI / LLM for security

Communication skills

Tools

Kubernetes

Linux

Job description

Modal is seeking a Detection & Response Engineer to build scalable security systems across our platform. Youll design detections, incident response workflows, and tooling, leveraging AI to speed investigations and reduce toil.

Work closely with infrastructure, platform, and security teams to improve visibility, response consistency, and post-incident improvements. Strong software engineering and cloud-native experience are required.