Staff Security Engineer – Threat Detection

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Snowflake

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2012

☁️ SaaS

🏢 Entreprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake est une plateforme de données cloud et un entrepôt de données en tant que service. Elle permet aux organisations de stocker, traiter, analyser et partager de grands volumes de données structurées et semi-structurées sur plusieurs clouds, avec une décomposition scalable des capacités de calcul et de stockage, une sécurité intégrée et des capacités de partage de données, ainsi qu'un support pour les charges de travail analytiques et d'apprentissage automatique. Snowflake est proposé en tant que SaaS géré pour les clients entreprises et est principalement commercialisé et vendu en tant que produit B2B.

Description

• Develop and deploy rules-based and AI-assisted threat detections using testing, validation, CI/CD, 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, logs, and telemetry • Design and build automations and AI-driven workflows to strengthen security posture and reduce mean time to detect and respond • Partner with stakeholders across Security and Engineering to deliver detection as a service, 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 a high-level language such as Python or Go • Track record of building software, data tooling, or automations • Experience handling data programmatically using SQL and Python • Experience with large-scale log and telemetry datasets for detection logic or analytics • Experience writing production code, 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 a bonus • Experience applying GenAI and LLM-based approaches to security workflows is a bonus • Experience with Terraform, CloudFormation, and/or detections-as-code frameworks is a bonus • Experience building production software or platforms processing high-volume data streams is a bonus • Experience deploying detections at global scale is a bonus • Experience with Snowflake or equivalent cloud data platforms and Snowflake Cortex AI or similar is a bonus

🏖️ Avantages

• Bonus and equity plan eligibility • Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k) retirement plan • Flexible spending account • Health savings account • At least 12 paid holidays • Paid time off • Parental leave • Employee assistance program • Other company benefits