Jobs / United States / Doordash INC
Senior Detection Engineer, Protective Services
Doordash INC · 🇺🇸 United States - remote · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 396 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 147 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Doordash INC paid sponsored hires in similar roles88 certified filings for “Software Engineer” (Software Developers) in CA: $154k–$188k, median $188k. Most were filed at wage level I (41%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Doordash INC
The US Department of Labor certified 396 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 147 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Doordash INC →
About the role
About the Team DoorDash is one of the world's most trusted on-demand logistics platforms. The Global Safety and Security team exists to keep it that way, protecting our people, property, operations, brand, and reputation across all our markets. We manage risk and create value through agility, technology, and a people-first approach. Our DoorDash, Deliveroo, and Wolt brands now span more than 40 countries, dozens of offices, and tens of thousands of employees. Protective Services focuses specifically on the safety of our executives, their families, and the operations that support them. Its detection engineering function brings together enterprise, marketplace, open-source, and physical security signals to identify threats that do not fit within a traditional SOC boundary. This role builds the detection capabilities that turn those signals into timely, actionable information for Protective Services. About the Role We are hiring a Senior Detection Engineer to build and improve the technical capabilities Protective Services uses to identify threats to protected individuals. You will develop detections, pipelines, enrichment, and automation across enterprise security telemetry, marketplace signals, open-source information, and physical security systems. This detection problem extends beyond conventional cybersecurity alerts. Relevant indicators may appear across identities, endpoints, cloud environments, support interactions, marketplace activity, access-control events, or unstructured online content. You will determine how to combine those signals, distinguish meaningful escalation from noise, and directly investigate resulting activity alongside Protective Services partners. That proximity to active cases grounds engineering decisions in real investigative needs and reveals opportunities to improve fidelity, automate friction, and reduce time to action. This is a hands-on security engineering role. You will work in code, queries, data pipelines, detection repositories, and production systems; carry detections from hypothesis through deployment and optimization; and use operational outcomes to improve coverage and quality. This role reports to the Engineering Manager, Protective Services, and requires participation in an on-call rotation. You’re excited about this opportunity because you will… • Conduct hands-on detection engineering for Protective Services, translating threat intelligence, investigative needs, known incidents, and observed behavior into high-quality custom alerting • Implement risk-based analytics that reduce unnecessary alert volume, prioritize meaningful threats, and give investigators the context to act • Build, test, deploy, and operate detection-as-code pipelines that support reliable detection at DoorDash’s scale • Integrate enterprise telemetry, marketplace activity, physical security events, OSINT, support interactions, and other external signals into detections tailored to protective use cases • Work with structured and unstructured data, applying rules, statistical methods, machine learning, and LLM-backed techniques where they measurably improve detection and investigation • Develop and maintain automation and agentic tooling that improve detection efficacy, streamline investigative workflows, and reduce repetitive work • Own the detection lifecycle from hypothesis and data validation through deployment, tuning, measurement, and retirement; maintain detection repositories and use case libraries • Conduct technical triage and investigations, correlate signals across sources, assess confidence and scope, and help Protective Services partners determine the appropriate response • Follow detections through investigation, response, and mitigation, using case outcomes, false positives, and missed ind