Job Description
📋 Description Develop and deploy detections using modern engineering practices (testing and validation, CI/CD Mature threat detection by analyzing coverage gaps and mitigating risks with AI/ML where it Make data-driven recommendations for detective and preventative controls based on threat models and Design and build automations and AI-driven workflows to strengthen security posture and reduce mean Build and maintain partnerships to deliver detection as a service, including reusable components Continuously measure detection quality across coverage, precision/recall, false positives, and 🎯 Requirements 8+ years of security engineering experience in threat detection, incident response, threat hunting Strong coding ability in Python or Go with a track record of building software, data tooling, or Experience handling data programmatically (SQL, Python) with large-scale logs/telemetry for Experience writing production code with unit tests, version control, and CI/CD integration. Experience developing and operating agent-based or agentic workflows (e.g., LangGraph or similar). Hands-on experience with at least one major cloud provider (AWS/Azure/GCP) and its logging 🎁 Benefits Bonus points for CS degree or equivalent experience. Experience applying GenAI/LLM-based approaches to security workflows. Experience with infrastructure as code (Terraform/CloudFormation) and/or detections-as-code. Experience building/maintaining production software handling high-volume data streams for security Experience deploying detections at global scale. Experience with Snowflake or cloud data platforms for security workloads.
