Rokt

Security Engineer

Rokt

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $170,000 - $185,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudGoGoogle Cloud PlatformKubernetesPython

About the role

  • Develop AI-driven security solutions: design and implement log management, detection rules, behavior baselines, security event triage, incident response and forensic workflows, and reporting
  • Utilize AI workflow tools to provide consistent 365/7 response and scale detection/response capabilities
  • Automate threat assessments: leverage AI for threat intelligence gathering, maintain threat actor and TTP catalogues, identify mitigations
  • Provide subject matter expertise in application security, API-based architectures, Kubernetes, and agentic/LLM-enabled threats
  • Collaborate across teams (system and product owners, Legal, PR, Senior Leadership) to ensure incident readiness and translate detection/response requirements
  • Stay informed on security trends, threat actors, and vulnerabilities to improve protections
  • Mentor and educate business teams on logging, secure coding, architecture, vulnerability remediation, and compliance
  • Drive continuous improvement of security processes and tools and advocate for new technologies
  • Uphold ethical AI practices and respect for user privacy in security measures

Requirements

  • Strong understanding of application security threats, particularly in modern API-based architectures and Kubernetes-based operating environments
  • Familiarity with CI/CD pipelines and newer threats related to LLMs and Agentic AI
  • Familiar with threat modelling and use of threat catalogues to capture threat actors, tactics, techniques, and procedures
  • Technical ability to establish user and entity behavioural analysis (UEBA) and rule-based detections at large scale and high log volumes
  • Experience with automated event correlation to reduce alert fatigue
  • Hands-on incident response and forensics experience to contain and eradicate incidents
  • Proficiency in at least one modern programming language such as Go or Python (desired)
  • Experience with cloud platforms notably AWS or GCP and containerized environments
  • Familiarity with relevant open-source and commercial security software, security data lake technologies, and network/host/cloud detection and forensic tools
  • Strong foundation in threat intelligence, detection, response, and forensics
  • Product-builder mindset and ability to collaborate with Legal, PR, and Senior Leadership
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