Security Engineer – Threat Detection

🕒 il y a 29 jours

🇺🇸 États-Unis – Télétravail

💵 $122 000 - $174 800 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👮‍♂️ Cybersécurité / Ingénieur Sécurité

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Snowflake

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

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 detections using modern engineering practices (testing/validation, CI/CD pipelines, detections as code, detection development lifecycle, etc.), including both rules-based and AI-assisted detections • Mature our threat detection program by analyzing gaps and mitigating risks via detective controls, including experimentation with AI/ML approaches where they improve signal-to-noise ratio or analyst efficiency • Build and maintain strong partnerships with our stakeholders to provide detection as a service, including self-service patterns, reusable components, and AI-enhanced detections that support their domains • Continuously measure and improve detection quality (coverage, precision/recall, false positive rate, latency)

🎯 Exigences

• Security Engineering Experience (Threat Detection, Incident Response, Threat Hunting, Product Security, Corporate Security, or other related disciplines) • Solid experience writing code (Python, Go, etc.), with a desire to apply these skills to AI/ML-powered use cases in detection and response • Experience collaborating with various security teams and stakeholders • Ability to review and analyze logging and observability requirements that support detection and response • A risk-based approach to security to help prioritize key security initiatives and determine when AI provides meaningful value over traditional rules and heuristics • Knowledge of the current security landscape with domain knowledge in several of: cloud security, identity and access, SaaS security, endpoint security, data security, and insider risk • An automation-first mindset for scaling security, including comfort with CI/CD, infrastructure as code, and “detections as code.” • A humble, team-oriented engineer who prioritizes team success in a zero-ego environment • Experience with development in a high-level programming language (Go, Python, etc.) • Experience handling data programmatically (SQL, Python, etc.) • Experience writing production code including unit tests, version control, and CI/CD integration • Experience with at least one major cloud provider (AWS, Azure, GCP) and understanding of its native logging, monitoring, and security services • Familiarity with the risks that impact SaaS products and workstations

🏖️ Avantages

• We are laser focused on doing security in the agentic era, and we do not tolerate the status quo • We have strong demand from our customers and strong support from the business for security, giving us both mandate and runway to invest in next-generation, AI-driven detection and response capabilities • We are a great team with a diverse set of backgrounds and skills and we are excited to add engineers who want to push the frontier of AI in security • You want to be part of a team solving Security Threat Detection at a global scale, leveraging Snowflake’s own data platform and AI capabilities to build detections and workflows that meaningfully raise the bar for defenders