Backend Software Engineer, DoorDash

Salary not provided
SQL
Java
Elasticsearch
Redis
Postgres
Kotlin
RabbitMQ
REST API
Junior and Mid level
Toronto
DoorDash

Local food delivery platform

Job no longer available

DoorDash

Local food delivery platform

1001+ employees

B2CB2BMarketplaceFoodConsumer GoodsDeliveryeCommerce

Job no longer available

Salary not provided
SQL
Java
Elasticsearch
Redis
Postgres
Kotlin
RabbitMQ
REST API
Junior and Mid level
Toronto

1001+ employees

B2CB2BMarketplaceFoodConsumer GoodsDeliveryeCommerce

Company mission

To empower local economies by connecting food lovers with great local restaurants

Role

Who you are

  • B.S., M.S., or PhD. in Computer Science or equivalent
  • 2+ years of industry experience
  • Prior experience working with backend tech stacks
  • Ability to analyze and improve efficiency, scalability, and stability of various system resources
  • Experience with service oriented architecture, writing REST API’s, unit testing, and architectural design
  • Understanding of modern web stacks and architecture (HTTP, REST)
  • Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ)

Desirable

  • Experience building large scale, real-time applications
  • Experience with Java/Kotlin
  • Contributor to open source projects

What the job involves

  • Product engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions
  • You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture -- collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company
  • Develop, release and run large-scale web applications
  • Develop and define the backend architecture and tech stack for a product area
  • Improve performance, reliability, scalability and security for our backend systems
  • Be involved in transitioning our monolithic codebase to a microservice-based architecture
  • Completely disrupt logistics by tackling bleeding-edge, technical problems

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

DoorDash was an early entrant into the last-mile restaurant delivery business, which is now crowded with the likes of Uber Eats, Postmates and GrubHub. They offer restaurants an end-to-end delivery platform, generating new business and access to a network of delivery drivers.

To differentiate itself in the market, DoorDash focused on areas with fewer competitors and found success in this untapped market. Other factors, such as the company's targeting of restaurants which many not typically offer a delivery service, also contribute to its profitability. The company made its stock market debut in 2020 with one of the biggest IPOs of the year.

However, in light of increasing discontent around DoorDash's commission structure from restaurants, competition remains fierce. The business recently responded by publishing a transparent fee structure, but the number of options open to restaurants means DoorDash must fight to keep its customers loyal. Despite this, by focusing on consumer retention, logistics and technology, the company is likely able to maintain its existing growth and revenue.

Insights

Top investors

Some candidates hear
back within 2 weeks

13% employee growth in 12 months

Company

Funding (last 2 of 11 rounds)

Jun 2020

$400m

SERIES H

Nov 2019

$100m

SERIES G

Total funding: $2.5bn

Company benefits

  • Company stock options
  • Work from home stipend
  • Unlimited paid time off policy
  • Work from home opportunities
  • Health insurance

Company values

  • We are doers
  • We are learners
  • We are leaders
  • We are one team

Company HQ

Mid-Market, San Francisco, CA

Founders

Tony studied at UCB and worked as a Matrix Partners Associate while studying for an MBA at Stanford. He combined this experience to co-found DoorDash in January 2013, and has served as CEO since June 2013.

Previously studied Computer Science at Stanford, before working at Facebook as a Software Engineer.

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