Senior Lead Threat Hunter & AI Security Engineer (Remote)

United States Digital Space LLC

United States

Remote

USD 150,000 - 210,000

Full time

14 days+

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Job summary

United States Digital Space LLC seeks a Senior Lead Security Engineer to hunt threats, investigate at scale, and integrate ML and AI-enabled tools across large networks. You will work with researchers, data engineers, and customers to advance AI-ready threat discovery and mitigation strategies.

The role emphasizes automation, Python scripting, and cross-functional collaboration in a remote-friendly environment with onsite collaboration as needed.

Qualifications

  • Experience scripting in Python and distributed computing.
  • Active TS/SCI security clearance with CI Poly.
  • Strong threat hunting and malware research abilities.
  • Experience with OSINT, SQL, and Unix environments.
  • Ability to validate AI outputs and communicate complex concepts clearly.

Responsibilities

  • Research threat attacker tools and automate detection.
  • Investigate cyber threat activity with cyber operators and provide mitigations.
  • Automate investigations using Python, Jupyter, and Grafana.
  • Build trust with intelligence teams, law enforcement, and partners.
  • Support customer RFIs on incidents and emerging threats.
  • Use AI-enabled tools to accelerate research while maintaining analytical rigor.
  • Develop repeatable workflows combining analyst expertise, automation, and AI capabilities.

Skills

Python scripting
OSINT
Threat hunting
Unix
SQL
AI-assisted research
Network security
Analytical thinking
Technical writing

Tools

Docker
Hadoop
Spark
Elasticsearch
Redis
Jupyter
Grafana

Job description

United States Digital Space LLC seeks a Senior Lead Security Engineer to hunt threats, investigate at scale, and integrate ML and AI-enabled tools across large networks. You will work with researchers, data engineers, and customers to advance AI-ready threat discovery and mitigation strategies.

The role emphasizes automation, Python scripting, and cross-functional collaboration in a remote-friendly environment with onsite collaboration as needed.

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