Detection and Response Engineer

NorthAB LLC • Remote work MI, MI

1d • $100,000 - $145,000 • Remote

About The Position

The Detection and Response Engineer is responsible for the day-to-day engineering, tuning, and improvement of North's detection and response capability. The role covers four core areas: detection engineering, incident response, AI-enabled SOC operations, and security automation. This role works closely with the SOC, IT, and engineering teams to close visibility gaps, reduce manual analyst effort, and shorten the time between detection and resolution across our payment processing environment.

Requirements

• Bachelor's degree in a technical field, or equivalent professional experience
• 3–5 years of hands-on information security experience, with demonstrated depth in at least two of: detection engineering, incident response, security automation, or SOC operations
• Hands-on experience writing, tuning, or maintaining detection content in a SIEM or NG-SIEM platform (e.g., CrowdStrike NG-SIEM, Splunk, Microsoft Sentinel)
• Experience with EDR/XDR platforms and log analysis across diverse sources: endpoint, network, cloud, and identity
• Working knowledge of the MITRE ATT&CK framework and its practical application to detection engineering and gap analysis
• Scripting or automation experience (Python, PowerShell, or similar) applied to security use cases AND/OR experience using LLM coding tools such as Claude Code, Gemini CLI, or Codex.
• Solid understanding of networking, cloud infrastructure (AWS especially, but also Azure and GCP), Windows/Linux systems, and identity platforms
• Working knowledge of PCI-DSS or a comparable compliance framework
• Excellent written and verbal communication skills, including the ability to translate technical findings for non- technical stakeholders

Nice To Haves

• GIAC Certified Incident Handler (GCIH)
• GIAC Certified Forensic Analyst (GCFA)
• Offensive Security Certified Professional (OSCP)
• Offensive Security Incident Response (OSIR)
• CompTIA CySA+
• CompTIA CASP+
• SOAR platform experience (e.g., N8N, Tines)
• Experience integrating or building with LLM/AI APIs for security use cases
• Cloud-native security tooling (AWS GuardDuty, Microsoft Sentinel, Google Security Command Center)
• Threat intelligence platform experience
• Digital forensics tooling and methodology
• Purple team or adversary emulation experience
• Familiarity with the payments/fintech regulatory environment

Responsibilities

• Design, build, and tune detection content (rules, correlation searches, use cases) across endpoint, network, cloud, and identity log sources
• Perform ongoing coverage and gap analysis against the MITRE ATT&CK framework and actual log source volume, prioritizing based on real attack surface
• Validate detection logic against real-world attack techniques from cyber threat intelligence and reduce false- positive rates without sacrificing efficacy
• Maintain and version-control the detection rule repository, including documentation of coverage and known gaps
• Triage, investigate, and contain security incidents and alerts across the environment
• Conduct root cause analysis and structured post-incident reviews, feeding findings back into detection engineering
• Document incident timelines, indicators of compromise, and remediation actions
• Support forensic investigation of compromised hosts, accounts, and applications
• Participate in on-call rotation for critical incident response as needed
• Evaluate, pilot, and implement AI/LLM-powered tools for alert triage, enrichment, and analyst workflows
• Build and tune AI-assisted investigation and detection workflows to reduce analyst workload and mean time to respond (MTTR)
• Identify high-value use cases for AI and automation while measuring the resulting impact
• Apply sound judgment about where AI-generated output requires human validation, particularly for high-confidence detections and containment actions
• Develop automation and orchestration (SOAR, scripts, APIs) to streamline detection, enrichment, and response workflows
• Automate repetitive SOC and IR tasks, such as evidence gathering, enrichment, and ticketing, to reduce manual toil
• Build and maintain playbooks and runbooks for common incident types
• Write and maintain scripts (Python or similar) that integrate security tooling and data sources
• Partner with cloud, network, and identity teams to close visibility and telemetry gaps
• Stay current on threat intelligence, adversary TTPs, and vulnerabilities relevant to a payments/fintech environment
• Communicate findings, coverage gaps, and recommendations clearly to both technical and non-technical stakeholders
• Develop and maintain procedure and policy documentation supporting detection and response operations

Benefits

• We look forward to discussing your salary expectations and our full total rewards offerings throughout the interview process.
• We're proud to offer benefits that help our team members further their overall well-being through unique initiatives that are both personally and professionally fulfilling.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level