Government Careers

  • Network Detection Engineer ( NDR )

  • United Software Group
  • Minneapolis, Minnesota 55401 United States View Map

Network Detection Engineer (NDR)

Network Detection Specialist Engineer

We are seeking a skilled engineer to support our Network Detection & Response (NDR) operations and build a modern health monitoring system for our Corelight security platform. This role is ideal for someone who blends security operations experience with strong automation and monitoring skills.

Key Responsibilities

  • Support day to day operations of the NDR platform, including sensor health, data flow monitoring, and alert handling.
  • Build and maintain a platform health monitoring solution using Grafana, Prometheus, InfluxDB, and API integrations.
  • Develop automation scripts in Python to collect system and application health metrics.
  • Create dashboards and alerts that provide real time visibility into system performance and uptime.
  • Work with Security Operations, Incident Response, and Network teams to ensure timely detection and resolution of issues.

Required Qualifications

  • Experience with network security tools, ideally Corelight, Endace, Zeek, or Suricata.
  • Strong Python skills, especially for automation and working with APIs.
  • Hands on experience with monitoring and visualization tools such as Grafana, Prometheus, and/or InfluxDB.
  • Solid understanding of general network concepts (e.g., TCP/IP, traffic flow, packet capture).
  • Background in SOC, NDR monitoring, or security operations is highly desirable.
  • Experience building dashboards, alerts, or custom data collectors.
  • Familiarity with containerized environments (Docker, Kubernetes).
  • Knowledge of API authentication and data integration best practices.

Required AI Skills:

  • All resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
  • Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
  • Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.

Network Detection Engineer (NDR)

Network Detection Specialist Engineer

We are seeking a skilled engineer to support our Network Detection & Response (NDR) operations and build a modern health monitoring system for our Corelight security platform. This role is ideal for someone who blends security operations experience with strong automation and monitoring skills.

Key Responsibilities

  • Support day to day operations of the NDR platform, including sensor health, data flow monitoring, and alert handling.
  • Build and maintain a platform health monitoring solution using Grafana, Prometheus, InfluxDB, and API integrations.
  • Develop automation scripts in Python to collect system and application health metrics.
  • Create dashboards and alerts that provide real time visibility into system performance and uptime.
  • Work with Security Operations, Incident Response, and Network teams to ensure timely detection and resolution of issues.

Required Qualifications

  • Experience with network security tools, ideally Corelight, Endace, Zeek, or Suricata.
  • Strong Python skills, especially for automation and working with APIs.
  • Hands on experience with monitoring and visualization tools such as Grafana, Prometheus, and/or InfluxDB.
  • Solid understanding of general network concepts (e.g., TCP/IP, traffic flow, packet capture).
  • Background in SOC, NDR monitoring, or security operations is highly desirable.
  • Experience building dashboards, alerts, or custom data collectors.
  • Familiarity with containerized environments (Docker, Kubernetes).
  • Knowledge of API authentication and data integration best practices.

Required AI Skills:

  • All resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
  • Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
  • Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
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