Detection Engineer II
Instacart
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About the role
Role Overview
Instacart’s Detection Engineering team (within Security) builds and operates systems that identify, surface, and respond to threats across endpoint, cloud, container, and SaaS. As a Detection Engineer II, you’ll act as a technical anchor for detection coverage—translating attacker TTPs into high-fidelity detections and improving quality, scale, and analyst efficiency.
Responsibilities
- Develop, tune, document, and maintain detection logic across multiple log sources (endpoint, cloud, container, SaaS)
- Support cyber forensic investigations using diverse telemetry
- Optimize log ingestion and telemetry collection for high-quality, actionable security data while managing volume and cost
- Design and build SOAR playbooks and automation workflows for:
- detection triage
- enrichment
- response actions
- Mentor and share knowledge with other detection engineers on threat hunting, detection engineering, and investigations
Requirements (Minimum)
- 2+ years experience in detection engineering, incident response, or offensive security
- Experience with public cloud platforms (AWS, Azure, or GCP)
- Strong understanding of attacker TTPs in modern zero trust environments (e.g., identity compromise, token theft, trust boundary abuse)
- Proficiency with macOS internals and telemetry to identify macOS-specific threats
- Experience implementing detection-as-code practices (version control, peer review, automated testing, CI/CD deployment)
- Basic proficiency in Python, Golang, or other scripting/programming languages
- Relevant certifications such as GCFA, GCFE, GNFA, GREM, OSCP, GCIA, or similar
Nice to Have (Preferred)
- Background in offensive security / red teaming
- Knowledge of machine learning for threat detection
About Instacart
Instacart is a grocery delivery technology platform that helps customers get groceries and household goods quickly and reliably. The company also supports flexible earning opportunities through its Personal Shoppers and operates at large scale across a complex, cloud-native environment.
Scraped 7/23/2026