doordashusa
Software Engineer, Storage
At a Glance
- Location
- San Francisco, CA; Sunnyvale, CA; Seattle, WA; New York, NY
- Experience
- 2+ years
- Posted
- 2026-03-16T14:32:34-04:00
Key Requirements
Required Skills
Domain Knowledge
- Healthcare
- Insurance
- Logistics
- Medical
- Regulatory
Benefits & Perks
at’s why we offer a comprehensive benefits package to all regular employees, which
Requirements
You have 2+ years of experience in designing, building and maintaining scalable, distributed data infrastructure.
You are proficient in GoLang, or Java with a deeper expertise in multi-threading, distributed systems and databases.
You have deep expertise in NoSQL databases (Cassandra, DynamoDB, or similar) and distributed caching systems (Redis, Memcached).
You have built and optimized high-scale data storage systems with a focus on reliability, availability, and performance.
You thrive in a fast-paced, execution-driven environment and have a proven track record of delivering impactful storage solutions.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using
Responsibilities
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 three teams within Storage, each solving unique and high-impact challenges:
One team is building a dedicated data gateway service to streamline and abstract interactions with CockroachDB, enabling consistent and efficient database access across the organization.
Another team is developing a service that integrates Kafka and gRPC protocols, acting as a bridge to allow services to seamlessly produce and consume messages—leveraging the strengths of both streaming and RPC paradigms.
The third team focuses on building caching abstractions that support diverse performance and scalability needs across DoorDash, helping product teams deliver fast and reliable experiences.
If you're passionate about distributed systems, developer experience, and building foundational infrastructure at scale, we'd love to hear from you.
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.