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Remote Detection Engineer Jobs in Minnesota (NOW HIRING)

Target

Lead Engineer - Insider Risk

Minneapolis, MN · On-site +1

$132K - $238K/yr

Integrate DLP tools with SIEM, UEBA, CASB, and endpoint detection platforms. * Conduct continuous ... A Remote work arrangement means the team member worksfull-time from home oran alternatelocation ...

legence

Lead Cybersecurity Specialist

Minneapolis, MN · Remote

$125K - $165K/yr

Remote, United States. Near Legence office preferred. The Lead Cybersecurity Specialist within the ... Partner with engineering teams to embed security into cloud-native development and DevOps processes ...

legence

Lead Cybersecurity Specialist

Minneapolis, MN · Remote

$125K - $165K/yr

Remote, United States. Near Legence office preferred. The Lead Cybersecurity Specialist within the ... Partner with engineering teams to embed security into cloud-native development and DevOps processes ...

legence

Lead Cybersecurity Specialist

Minneapolis, MN · Remote

$125K - $165K/yr

Remote, United States. Near Legence office preferred. The Lead Cybersecurity Specialist within the ... Partner with engineering teams to embed security into cloud-native development and DevOps processes ...

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Remote Detection Engineer information

What are Remote Detection Engineers?

Remote Detection Engineers are professionals who use technology and specialized tools to identify, monitor, and analyze data or threats from a distance, often in the realm of cybersecurity or environmental monitoring. They typically work with remote sensing equipment, network security systems, or other detection technologies to spot issues without needing to be physically present. Their role is critical for organizations that require constant vigilance over digital assets or remote environments. In cybersecurity, for example, they help detect and respond to threats to protect sensitive information. Remote Detection Engineers often collaborate with IT, security, or scientific teams depending on their industry.

What are the key skills and qualifications needed to thrive as a Remote Detection Engineer, and why are they important?

To thrive as a Remote Detection Engineer, you need a strong background in cybersecurity, threat detection, and incident response, often supported by a degree in computer science or a related field. Familiarity with SIEM platforms (like Splunk or ELK Stack), EDR tools, and certifications such as CISSP or GIAC are commonly required. Analytical thinking, problem-solving, and clear communication are critical soft skills for interpreting threats and collaborating with distributed teams. These skills ensure timely identification and mitigation of security threats, protecting organizational assets in a remote work environment.

How does a Remote Detection Engineer typically collaborate with other cybersecurity teams to improve threat detection?

As a Remote Detection Engineer, you will regularly collaborate with Security Operations Center (SOC) analysts, incident responders, and threat intelligence teams. Your main role involves developing and fine-tuning detection logic, which often requires direct feedback from analysts handling alerts and incidents. You may participate in virtual meetings, conduct knowledge-sharing sessions, and provide technical guidance to ensure detections are actionable and relevant. This cross-team collaboration is essential for refining detection strategies, addressing false positives, and staying ahead of emerging threats.
What are popular job titles related to Remote Detection Engineer jobs in Minnesota? For Remote Detection Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Detection Engineer jobs in Minnesota look for? The top searched job categories for Remote Detection Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Detection Engineer jobs? Cities in Minnesota with the most Remote Detection Engineer job openings:
Remote Detection Engineer jobs near you
Infographic showing various Remote Detection Engineer job openings in Minnesota as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Network Detection Engineer

Futran Tech Solutions Pvt. Ltd.

Minneapolis, MN • On-site, Remote

Full-time

Posted 16 days ago

Job description

Title: Network Detection Engineer ( NDR )
Duration: Full Time
Location: Minneapolis MN / Remote
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.
-Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery

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