Security Engineer – Threat Detection

🕒 May 12

🇺🇸 United States – Remote

💵 $122k - $174.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

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 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)

🎯 Requirements

• 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

🏖️ Benefits

• 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