Senior Detection Engineer

DoorDash · Remote (Remote US)

Equity This posting mentions equity, such as stock options or RSUs. The terms are on the company’s site.

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About the role

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 external signals such as threat intelligence into alerting pipelines tailored to specific use cases

Develop and maintain agentic tooling to increase detection efficacy and efficiency

Leverage security tooling, logs, and custom telemetry to build detections at scale

Work with structured and unstructured telemetry to produce meaningful security signals

Maintain detection repositories, use case libraries, and conduct routine content optimization

Coordinate with cross-functional teams, internally and externally, on threats targeting DoorDash

Participate in and lead projects that improve the security posture of all DoorDash brands

Create and maintain standards and documentation to improve service consistency

Mentor and uplevel other engineers within the Cyber Defense organization

We’re excited about you because you have…

7+ years of experience in secure coding, alert development, and detection engineering.

Direct experience building, maintaining, and operating a detection-as-code pipeline

A proven track record building automation that measurably improved detection accuracy, velocity, or quality

Demonstrated experience building agents to effectively and efficiently solve detection problems

Extensive knowledge of cloud based and distributed systems

Experience working with global and cross-functional partners, especially incident response, insider risk, and threat hunting teams

Mastery of SIEM querying (sql, spl, kql) and programming languages (python, go, etc)

Experience translating MITRE ATT&CK, D3FEND, and other industry frameworks into meaningful rationalizations of detection coverage

Continued in DoorDash’s original posting ↗.

Before you apply. Check the location rules in the full posting: many remote roles are open only to people in certain countries or US states, and some need occasional travel. Listings are sourced from each company’s own careers site and updated daily. Apply on the company site. How to spot a fake job · Report this listing

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