Staff Software Engineer, Backend
About the role
We’re looking for Staff 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. We expect Staff Engineers to be able to run cross-functional projects end to end, mentor their junior to mid level peers and influence our technical roadmaps.
About the Team
The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering’s evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers.
Staff Software Engineer, Backend
This role is hybrid with some in-office time expected and will report to an Engineering Manager.
Qualifications
- B.S., M.S., or PhD. in Computer Science or equivalent
- 8+ years of industry experience
- Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
- 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)