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Tech Stack
Tools & technologiesAWSAzureCloudGoGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonGoAI/MLSQLCI/CDinfrastructure as codedetections as codeunit testsversion controldata handling
Soft Skills
team-orientedcollaborationrisk-based approachhumilitycommunicationanalytical skillsproblem-solvingstakeholder managementadaptabilitycontinuous improvement