Detection & Response Engineer

Location: New York, United States

Salary: $150K–$270K per year

Company

hirify.global is building an infrastructure layer for AI workloads and provides scalable platform infrastructure for technology companies.

What you will do

• Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across infrastructure and production systems.
• Lead or participate in investigations across production infrastructure, cloud environments, and internal systems.
• Build playbooks, automation, and internal tooling to reduce investigation time and improve response consistency.
• Improve security telemetry collection, quality, visibility, and usability across cloud infrastructure, containers, identity systems, and production services.
• Use LLMs to automate repetitive analysis, accelerate investigations, and identify actionable security insights.
• Partner with engineering teams to make new systems observable and secure by default, and drive post-incident improvements.

Requirements

• Experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus.
• Strong software engineering skills and 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 from logs, telemetry, behavioral signals, or large-scale event data, with strong SQL skills.
• Interest in applying AI and LLMs to detection, investigation, and response, including emerging threats involving AI-powered systems.

Nice to have

• 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 supporting security operations in a high-growth engineering organization.

Culture & Benefits

• Work with infrastructure, platform, and security engineers to improve platform resilience.
• Collaborate with experienced engineering and product leaders, academic researchers, and open-source creators.
• Contribute to infrastructure supporting category-defining AI companies.