Network Detection Engineer (NDR) - Remote

Programmers.io • United State
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AI Summary

We are seeking a Network Detection Engineer (NDR) for a contract role, fully remote in the USA. The role involves network security monitoring, automation, and integration using tools like Corelight, Endace, Zeek, or Suricata. Key requirements include strong Python skills, experience with monitoring/visualization tools, and proficiency with enterprise-approved AI tools.

Key Highlights
Fully remote contract role in the USA
Focus on network detection and response (NDR) using Corelight, Endace, Zeek, or Suricata
Requires strong Python skills for automation and API integration
Experience with Grafana, Prometheus, or InfluxDB for monitoring and visualization
Proficiency with AI tools like GitHub Copilot and Microsoft 365 Copilot required
Technical Skills Required
Corelight Endace Zeek Suricata Python Grafana Prometheus InfluxDB Docker Kubernetes GitHub Copilot Microsoft 365 Copilot GenAI platforms

Job Description


One of our clients which is having operations globally is looking a Network Detection Engineer- Fully remote in USA. Please find the below job description and request you to share me your resume to srinath.k@programmers.ai


Title: Network Detection Engineer ( NDR )

Duration: Contract role

Location: Fully remote in USA


Required:


  • Experience with network security tools: Corelight, Endace, Zeek, or Suricata
  • Strong Python skills for automation and API integration
  • Hands-on with monitoring/visualization tools: Grafana, Prometheus, or InfluxDB
  • Solid grasp of network concepts (TCP/IP, traffic flow, packet capture)
  • Background in SOC, NDR monitoring, or security operations
  • Experience building dashboards, alerts, and custom data collectors
  • Familiarity with Docker and Kubernetes
  • Knowledge of API authentication and data integration


AI Skills

  • Proficiency with enterprise-approved AI tools (GitHub Copilot, Microsoft 365 Copilot, GenAI platforms)
  • Maintain 90% weekly usage of AI tools
  • Apply AI for coding, documentation, data analysis, and decision-making
  • Commitment to continuous learning and adapting to evolving AI features


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