Software Engineer, Storage
DoorDash
Seattle, WA, US
Onsite
2026-06-25
Announced salary
$131k–$192k
Low
$107K
Median
$149K
High
$192K
Market in Seattle · BLS OEWS 2025
Job description
**About the Team**
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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.
**About the Role**
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The Storage team is building and operating a high\-performance, scalable, and reliable data abstraction layer that optimizes both efficiency and reliability. Our goal is to create a platform that manages itself and fades into the background—empowering engineers to focus on delivering product experiences our customers love.
This role is available across two teams within Storage, each solving unique and high\-impact challenges:
* One team is building the orchestration layer for DoorDash's storage platform—unifying lifecycle management, operations, and self\-serve APIs for databases and streaming systems, turning complex, stateful infrastructure into reliable, developer\-friendly services used across the company.
One team builds and operates the distributed data platform powering DoorDash's largest stateful workloads * \- including Cassandra, which backs critical product surfaces across DoorDash, Wolt, and Roo. You'll design high\-throughput data abstractions, smart clients, and platform services that make distributed data reliable and easy to work with at multi\-petabyte, multi\-million\-QPS scale, with opportunities to go deep on distributed systems internals and contribute to the open\-source Cassandra ecosystem.
If you're passionate about distributed systems, developer experience, and building foundational infrastructure at scale, we'd love to hear from you.
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