Staff Security Engineer – Threat Detection

🕒 il y a 1 jour

🇺🇸 États-Unis – Télétravail

💵 $211 000 - $303 600 / an

⏰ Temps Plein

🔴 Expert

👮‍♂️ Cybersécurité / Ingénieur Sécurité

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Snowflake

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2012

💼 Conseil

📣 Marketing

Consulting • Marketing • Cloud Computing

Snowflake est une entreprise de stockage de données basée sur le cloud qui offre une plateforme innovante pour le stockage, le traitement et l'analyse de données. Elle permet aux organisations de gérer efficacement de grands volumes de données, facilitant ainsi la génération d'insights et l'intelligence économique. L'architecture de Snowflake prend en charge diverses charges de travail de données, ce qui en fait une solution polyvalente pour les entreprises cherchant à exploiter leurs données pour prendre des décisions stratégiques.

Description

• Develop and deploy rules-based and AI-assisted threat detections using testing, validation, CI/CD pipelines, detections-as-code, and a full detection development lifecycle • Analyze threat-detection coverage gaps and mitigate risks through detective controls • Experiment with AI/ML approaches to improve signal-to-noise ratio and analyst efficiency • Make data-driven recommendations for detective and preventative controls based on threat models, proactive threat hunts, and exploration of logs and telemetry • Design and build automations and AI-driven workflows to strengthen security posture and reduce mean time to detect and respond • Build stakeholder partnerships to deliver detection as a service, including self-service patterns, reusable components, and AI-enhanced detections • Measure and improve detection quality across coverage, precision and recall, false positive rate, and latency

🎯 Exigences

• 8+ years of security engineering experience across threat detection, incident response, threat hunting, product security, or corporate security, or equivalent experience • Strong coding ability in Python or Go, with experience building software, data tooling, or automations • Experience applying coding skills to AI/ML-powered detection and response • Programmatic data handling using SQL and Python, ideally with large-scale log and telemetry datasets • Production coding experience, including unit tests, version control, and CI/CD integration • Experience developing and operating agent-based or agentic workflows, such as LangGraph or similar orchestration frameworks • Hands-on experience with AWS, Azure, or GCP and understanding of native logging, monitoring, and security services • Familiarity with SaaS and workstation risks including account compromise, data exfiltration, phishing, and supply chain attacks • Risk-based approach to prioritizing security initiatives and evaluating AI versus traditional rules and heuristics • Computer Science degree or equivalent practical experience is listed as a bonus • Bonus experience with GenAI and LLM-based security workflows • Bonus experience with Terraform, CloudFormation, or detections-as-code frameworks • Bonus experience building production platforms processing high-volume logs, metrics, or traces • Bonus experience deploying detections at global scale • Bonus experience with Snowflake or equivalent cloud data platforms and security analytics pipelines