Computer Science degree or equivalent practical experience
Experience applying GenAI and LLM-based approaches to security workflows, such as detection engineering, alert triage, enrichment, or summarization
Experience with infrastructure as code (Terraform, CloudFormation) and/or detections-as-code frameworks
Experience building and maintaining production software or platforms that process high-volume data streams (logs, metrics, traces) or power security analytics
Experience deploying detections at global scale
Experience with Snowflake or equivalent cloud data platforms, including building data pipelines or analytics that support security workloads, and interest in Snowflake Cortex AI or similar in-platform AI capabilities
WHY JOIN OUR SECURITY TEAM AT SNOWFLAKE?
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, which gives us both the mandate and the runway to invest in next-generation, AI-driven detection and response capabilities. You will join a team with a diverse set of backgrounds and skills, excited to add engineers who want to push the frontier of AI in security and solve threat detection at global scale, leveraging Snowflake's own data platform and AI capabilities to build detections and workflows that meaningfully raise the bar for defenders. And did we mention we are one of the fastest-growing software companies ever? The opportunity for impact, on both Snowflake and the broader security ecosystem, is enormous
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
8+ years of security engineering experience across one or more of 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, with a track record of building software, data tooling, or automations, and a desire to apply those skills to AI/ML-powered detection and response
Experience handling data programmatically (SQL, Python), ideally including large-scale log and telemetry datasets used 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 (for example, LangGraph or similar orchestration frameworks)
Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and a solid understanding of its native logging, monitoring, and security services
Familiarity with the risks that impact SaaS products and workstations, such as account compromise, data exfiltration, phishing, and supply chain attacks
A risk-based approach that helps prioritize key security initiatives and judge when AI provides meaningful value over traditional rules and heuristics, paired with a humble, team-oriented mindset in a zero-ego environment