Staff Security Engineer – Threat Detection

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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