DoorDash features an engaging internship program that integrates software engineering interns into our Engineering teams, providing them with valuable hands-on experience that supplements their academic studies.
Category Archives: Backend
DoorDash empowers engineers with Kafka Self-Serve
DoorDash is supporting an increasingly diverse array of infrastructure use cases as the company matures.
Setting up Kafka multi-tenancy
Real-time event processing is a critical component of a distributed system’s scalability.
Introducing DoorDash’s in-house search engine
We reviewed the architecture of our global search at DoorDash in early 2022 and concluded that our rapid growth meant within three years we wouldn’t be able to scale the system efficiently, particularly as global search shifted from store-only to a hybrid item-and-store search experience.
Cassandra Unleashed: How We Enhanced Cassandra Fleet’s Efficiency and Performance
In the realm of distributed databases, Apache Cassandra stands out as a significant player.
Meeting DoorDash Growth with a Self-Service Logistics Configuration Platform
DoorDash has grown from executing simple restaurant deliveries to working with a wide variety of businesses, ranging from grocery, retail and pet supplies.
Staying in the Zone: How DoorDash used a service mesh to manage data transfer, reducing hops and cloud spend
There have been many benefits gained through DoorDash’s evolution from a monolithic application architecture to one that is based on cells and microservices.
Privacy Engineering at DoorDash Drive
DoorDash proactively embeds privacy into our products.
Leveraging Flink to Detect User Sessions and Engage DoorDash Consumers with Real-Time Notifications
At Doordash, we value every chance to boost order conversions in the app.
Revamping Dasher FAQ Hub Through Server-Driven Content and WebView
At DoorDash, dashing is highly process dependent.