# Security Engineer - Threat Detection

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Remote
**Role:** Security Engineering
**Salary:** $211k – $304k/yr
**Experience:** 8+ years
**Skills:** Python, Go, SQL, CI/CD, unit testing, LangGraph, AWS, microsoft azure, GCP, threat detection, threat hunting, Incident Response, Terraform, CloudFormation, LLMs
**Posted:** 2026-08-05

> Builds and evolves AI-assisted threat detection, automation, and analytics at cloud scale. Requires 8+ years of security engineering experience, strong Python or Go skills, production software practices, cloud security expertise, and experience with large-scale telemetry and agentic workflows.

## Job Description

## Responsibilities
- 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, including AI/ML approaches that improve signal-to-noise ratio or analyst efficiency.
- Make data-driven recommendations for detective and preventative controls using 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.
- Partner with Security and Engineering stakeholders 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 in 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 experience building software, data tooling, or automations.
- Experience handling data programmatically with SQL and Python, ideally using large-scale log and telemetry datasets.
- Experience writing production code with 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 Google Cloud and its native logging, monitoring, and security services.
- Familiarity with SaaS and workstation risks, including account compromise, data exfiltration, phishing, and supply chain attacks.
- A risk-based, team-oriented approach to prioritizing security initiatives and evaluating AI applications.

## Nice-to-haves
- Computer Science degree or equivalent practical experience.
- Experience applying GenAI and LLM-based approaches to security workflows, including detection engineering, alert triage, enrichment, or summarization.
- Experience with infrastructure as code, such as Terraform or CloudFormation, and/or detections-as-code frameworks.
- Experience building and maintaining production software or platforms processing high-volume logs, metrics, and traces or powering security analytics.
- Experience deploying detections at global scale.
- Experience with Snowflake or equivalent cloud data platforms, including security data pipelines or analytics, and interest in Snowflake Cortex AI or similar in-platform AI capabilities.

## Compensation and Benefits
- Salary range: $211,000-$303,600 annually.
- Salary and benefits information is available on the Snowflake Careers Site for jobs located in the United States.

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