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2 часа назад

Detection and Response Engineer (AI Security)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Detection and Response Engineer (AI Security): Building security telemetry, detection, alert-triage, and incident-response systems across cloud environments, CI/CD, identity systems, endpoints, and agentic workloads with an accent on detection-as-code, AI/LLM security, and trustworthy automation. Focus on leading incident response, hunting threats, developing alert-triage agents with human-in-the-loop controls, and driving vulnerability remediation.

Location: On-site in San Francisco, New York City, or Seattle, United States

Company

hirify.global is an agent observability platform that helps teams understand agent behavior in production, identify critical patterns, and improve agents through tracing and evaluations.

What you will do

  • Build security telemetry pipelines across AWS and other cloud execution environments, including ECS/Kubernetes, CI/CD systems, identity systems, endpoints, and agentic workloads.
  • Continuously improve detections for attacks, abuse, and anomalous behavior while owning the alert pipeline and maintaining a high signal-to-noise ratio.
  • Lead incident response and participate in on-call by triaging, scoping, containing, and remediating incidents, then writing postmortems that drive durable improvements.
  • Proactively hunt for threats and build tooling that turns evidence into new detections.
  • Build agents that triage alerts, enrich findings, gather evidence, and scope incidents with human-in-the-loop controls and evaluations.
  • Run vulnerability response, evaluate impact, and drive remediation across infrastructure.

Requirements

  • Proficiency in modern backend technologies and the ability to write production code in Python, TypeScript, or Go.
  • Experience with AWS, including IAM, VPC, KMS, GuardDuty, and CloudTrail, plus working fluency in at least one of Azure or GCP.
  • Kubernetes detection experience covering audit logs, runtime telemetry, and workload identity.
  • Knowledge of endpoint security for macOS and detection-and-response techniques.
  • Hands-on incident experience, including on-call work, incident leadership, and postmortem writing.
  • Strong written and verbal communication skills.
  • A clear point of view on AI/LLM security and hands-on experience defending against relevant threats.

Nice to have

  • Experience with LLM red-teaming, agent sandbox research, or other AI-relevant security threat defense.

Culture & Benefits

  • Medical, dental, and vision insurance.
  • Daily lunch, snacks, and beverages.
  • Flexible time off.
  • Competitive salary and equity.
  • Wi-Fi and cellphone stipend.

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