Staff Software Engineer, Event Streaming Systems

The posting, as DoorDash wrote it

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 int

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success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.

How it works: Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

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