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SecOps Expert (Web3)

Формат работы
hybrid
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

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TL;DR

SecOps Expert (Cybersecurity): Managing and administering security infrastructure and incident response processes with an accent on AI/ML automation and threat eradication. Focus on integrating LLMs for alert triaging, tuning detection logic, and performing deep-dive forensic analysis in cloud environments.

Location: Hybrid (New York office). Must be located in the New York metropolitan area or willing to commute.

Company

A leading platform providing secure infrastructure for companies to manage digital assets, trusted by major global financial institutions and Web3 companies.

What you will do

  • Manage and administer various security platforms and tools to secure infrastructure.
  • Utilize Machine Learning and Generative AI to automate workflows and build proactive security solutions.
  • Lead incident response by identifying breach attempts, containing threats, and streamlining response processes.
  • Conduct host-based, artifact, and malware analysis to support security investigations.
  • Develop detection logic and tune security sensors using ML models to reduce false positives.
  • Collaborate with stakeholders to drive remediation and develop runbooks for critical incident types.

Requirements

  • 4+ years of experience in Incident Response or SOC environments using traditional and AI-augmented tools.
  • 3+ years of experience with SIEM, IDS, DLP, IAM, and intelligence tools.
  • Proficiency with cloud services and architecture, including AWS, GCP, Azure, and Kubernetes.
  • Strong understanding of security controls on at least two OSs (Windows, Linux/Unix, or MacOS).
  • Experience with host-based forensics and analyzing OS artifacts.
  • Must be located in the New York metropolitan area for regular on-site presence.

Nice to have

  • Experience integrating AI-driven tools (LLMs/ML models) for threat hunting or triaging.
  • Bachelor’s degree in Computer Science or a related field.
  • Familiarity with Infrastructure as Code (IaC) and DevSecOps CI/CD monitoring.

Culture & Benefits

  • Hyper-growth environment within a global security team.
  • Opportunity to work with industry-leading digital asset security technology.
  • Engagement with a sophisticated tech stack involving cutting-edge AI/ML integration.
  • Collaborative atmosphere with a "roll-up-their-sleeves" mentality.

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