Detection and Response Engineer

🕒 il y a 14 jours

🇺🇸 États-Unis – Télétravail

💵 $100 000 - $145 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👷🏻‍♀️ Ingénieur

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North

Site WebLinkedInTous les Emplois

1001 - 5000 employés

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

North est un fournisseur complet de solutions de paiement. Spécialisé dans les systèmes de point de vente, le traitement des paiements et les services aux commerçants, North propose une large gamme de produits pour rationaliser les opérations commerciales, tant en ligne qu'hors ligne. Leurs services incluent des paiements mobiles sécurisés, des passerelles e-commerce, des solutions de points de vente, ainsi que des outils de back-office tels que la facturation, les rapports, la gestion des stocks et les programmes de fidélité. North soutient divers secteurs, notamment le commerce de détail, la restauration, la santé, le jeu, et plus encore, avec des solutions robustes adaptées aux besoins spécifiques des entreprises. Ils offrent des options évolutives aux entreprises et franchises et fournissent des API pour que les développeurs puissent créer des solutions de paiement intégrées. Engagé pour la sécurité, North garantit que toutes les transactions sont validées PCI DSS avec un cryptage et une tokenisation avancés.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• Health insurance • 401(k) retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities