Software Engineer, Backend (All Teams)
DoorDash USA, San Francisco, CA, United States
About the Role
DoorDash is building the world's most reliable on-demand logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Backend Engineers to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants, and Dashers.
We’re looking for Backend Engineers to work on both Product and Product Platform based teams. Product focused 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.
This role is hybrid with some in-office time expected and will report to an Engineering Manager.
You're excited about this opportunity because you will…
- 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
We're excited about you because you have…
- B.S., M.S., or PhD. in Computer Science or equivalent
- Prior experience (2+ years industry 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 APIs, 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)