Staff Security Engineer – Threat Detection

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $211k - $303.6k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

💼 Consulting

📣 Marketing

Consulting • Marketing • Cloud Computing

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

📋 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

🎯 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 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