Jobs / United States / Doordash INC
Staff Software Engineer, Event Streaming Systems
Doordash INC · 🇺🇸 New York, NY; Seattle, WA; San Francisco, CA; Sunnyvale, CA
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 roles44 certified filings for “Software Engineer” (Software Developers) in NY: $154k–$190k, median $160k. Most were filed at wage level II (33%) — 2 lottery entries, ≈31% 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.
Or apply yourself on the official page →
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 The Storage organization builds and operates the online stateful systems and abstractions that DoorDash Engineering depends on: reliable, efficient, secure, and easy to use. Within Storage, the Event Streaming Systems team owns the event streaming platform that powers business-critical, event-driven workflows across DoorDash, Wolt, and Deliveroo, including Kafka, our event streaming abstraction layer (internally called Event Bus), and the next generation of streaming platform technologies. These systems sit on the Tier-0 critical path. They move trillions of events per day across multiple regions and underpin how hundreds of engineering teams build reliable, event-driven products at massive scale. About the Role We're looking for a Staff Software Engineer to set the technical direction for our event streaming platform and lead its evolution over the next several years. This is a senior individual-contributor role: you'll operate as a force multiplier across teams, owning the hardest architectural problems, driving org-wide technical strategy, and raising the engineering bar for everyone who builds on and operates streaming infrastructure. You'll go deep on the internals of modern streaming systems, from the Kafka protocol and storage engine to object-store-backed, diskless architectures like WarpStream and AutoMQ. You'll make the high-leverage bets that determine how DoorDash streams data for years to come, on a platform that serves hundreds of engineering teams and trillions of events per day. You must be located in the New York Metro Area for this hybrid position. You will report to the Engineering Manager on our Event Streaming Systems team within the Storage organization. You're excited about this opportunity because you will… • Set the multi-year technical vision and architecture for DoorDash's event streaming platform, and drive alignment in that direction across Storage, SRE, Data Platform, and Product Engineering. • Lead the largest and most ambiguous streaming initiatives end to end, such as re-architecting toward diskless, object-store-backed streaming to cut cost and operational overhead across the fleet. • Go deep on the internals of Kafka and modern streaming systems (WarpStream, AutoMQ, and similar), and use that depth to solve problems that block the rest of the organization. • Own architectural decisions with company-wide blast radius, from replication, consensus, and storage design to multi-region topology, capacity, and cost efficiency. • Debug and resolve the hardest distributed systems problems in production, including subtle correctness, performance, and reliability issues under Tier-0 constraints. • Raise the technical bar through design reviews, mentorship of senior engineers, and by establishing the standards and patterns others build on. • Partner with engineering leadership to shape roadmaps, make build-versus-buy and open-source-versus-managed decisions, and translate business needs into platform strategy. We're excited about you because… • You have deep 8+ years of hands-on experience designing, building, and operating large-scale distributed systems in production, with a track record of technical leadership across multiple teams or an organization. • You have operated event streaming systems such as Kafka at scale, and you understand their internals, including the log storage engine, the ISR replication model, metadata consensus (KRaft/ZooKeeper), the consumer/producer protocol, partitioning, and rebalancing. • You are a strong engineer in Java, Go, or a similar language, with deep expertise in concurrency, distributed systems, and building reliable, maintainable production infrastructure. • You have led high-impact, cross-team initiatives from ambiguous problems to sh