ironquill.tech/board

$ cat jobs/senior-detection-engineer-doordash-89b242110b4a.json

Senior Detection Engineer

doordash·US·United States·senior
Apply on himalayas → Get AI match score →
About the Team At DoorDash, including international brands Deliveroo and Wolt, we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Global Cyber Defense is a highly talented and globally distributed team that covers response, intelligence, insider risk, threat hunting, automation, and detection engineering. We exist to keep our brands safe for the Dashers, merchants, and consumers who depend on us. Our mission is to detect, investigate, and respond to cyber threats with speed and precision, while continuously hardening our defenses through automation, AI, and cross-regional collaboration. About the Role The senior detection engineer is part of the larger detection engineering team that creates, tunes, maintains, and improves the detection lifecycle. This hands-on role is at the forefront of agentic detection engineering of a rapidly maturing security function. You’ll work closely with our data pipelines team, incident response, insider risk, and threat intelligence teams to make the most effective detection content to detect threats as quickly as possible. Detection at DoorDash spans more than the corporate estate. You’ll build coverage across cloud infrastructure, corporate endpoints and identity, and the marketplace itself - where consumer, merchant, and Dasher platforms create abuse and insider-risk patterns you won’t find in a typical enterprise SOC. We’re actively consolidating detection onto a modern data platform, so you’ll have real influence over what the pipeline looks like. This role reports to the Senior Manager, Cyber Defense located in the United States and participation in an on-call rotation is required for this role. You’re excited about this opportunity because you will… Conduct hands-on detection engineering for custom alerting, to include implementing risk-based analytics to reduce alert volumes and promote high-fidelity alert content Integrate exter