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Remote Detection Engineer Jobs (NOW HIRING)

Cribl

Staff Security Operations Engineer

With a global workforce, we're remote-first and grounded in a simple idea: software is a people ... SIEM, security data lakes, detection as code, EDR, zero trust networking, and other security ...

thg

Senior Information Security Engineer (REMOTE)

Worcester, MA · On-site +1

$106K - $144K/yr

... Engineer to join our IT Security organization in our Worcester, MA office or remote work ... Develop and tune detection rules, correlation logic, and use cases aligned with threat intelligence ...

thg

Senior Information Security Engineer (REMOTE)

Worcester, MA · On-site +1

$106K - $144K/yr

... Engineer to join our IT Security organization in our Worcester, MA office or remote work ... Develop and tune detection rules, correlation logic, and use cases aligned with threat intelligence ...

Rula Health

Manager, Security Operations (Remote)

$193K - $216K/yr

... is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii ... Experience applying MITRE ATT&CK, threat hunting methods, or detection engineering frameworks to ...

SWITS DIGITAL Private Limited

Security Engineer

Remote Experience: 10+ Years Must Have Hands on Experience in Thales CipherTrust Transparent ... KQL (Kusto Query Language) - Detection engineering, threat hunting * ThreatX - Web & API security ...

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How much do remote detection engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote detection engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

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.
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Remote Detection Engineer jobs near you
Infographic showing various Remote Detection Engineer job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Senior NDR & Platform Observability Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

$107K - $146K/yr

Full-time

Posted 16 days ago

Job description

Position: Senior NDR & Platform Observability Engineer
Location : Remote
Senior NDR & Platform Observability Engineer will support the operational health, visibility, and performance of the enterprise Network Detection & Response (NDR) environment, with a primary focus on the Corelight platform and surrounding telemetry pipelines. This role combines security operations expertise with the ability to build a modern monitoring and observability framework leveraging APIs, time series databases, automation, and data visualization tools. The engineer will design and implement a comprehensive health monitoring architecture that ensures accurate, timely detection of platform degradation, enhanced visibility into sensor and pipeline performance, and operational insights that support Security Operations, Incident Response, and Network Engineering teams.
Required Qualifications
• 5+ years in security operations, NDR, network engineering, or observability engineering.
• Hands-on experience with Corelight, Endace, cpacket, Zeek, Suricata, or related NDR technologies.
• Strong Python development skills, especially for API integrations and automation.
• Experience with monitoring and visualization platforms (Grafana, Prometheus, InfluxDB, Telegraf).
• Solid understanding of network traffic, packet capture, and troubleshooting.
• Ability to create dashboards, alerts, and metrics pipelines for large-scale environments.
• Experience supporting security operations teams or incident response workflows.
Preferred Qualifications
• Experience developing custom Prometheus exporters (Python/Go).
• Prior exposure to Corelight APIs and Zeek script customization.
• Familiarity with Docker, Kubernetes, or containerized exporters.
• Experience with SIEM platforms and log ingestion pipelines.
• Exposure to data engineering platforms (Kafka, Elasticsearch, Loki).
• Knowledge of MITRE ATT&CK and NDR detection engineering.
Required AI Skills: - All contractor 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 quality and velocity.

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