Software Engineer, Storage
About The Position
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. You must be located in San Francisco, Sunnyvale, Seattle, or the New York Metro Area for this hybrid position. You will report into the Engineering Manager on our Storage team within the Core Infrastructure Organization.
Requirements
- 2+ years of fulltime working experience in designing, building and maintaining scalable, distributed data infrastructure.
- Proficient in GoLang, or Java with a deeper expertise in multi-threading, distributed systems and databases.
- Deep expertise in NoSQL databases (Cassandra, DynamoDB, or similar) and distributed caching systems (Redis, Memcached).
- Built and optimized high-scale data storage systems with a focus on reliability, availability, and performance.
- Expertise in workflow/orchestration engines (Temporal/Cadence/Argo, job runners) and modeling long-running, stateful workflows.
- Thrive in a fast-paced, execution-driven environment and have a proven track record of delivering impactful storage solutions.
Responsibilities
- Build and optimize distributed storage systems that improve data reliability, consistency, and performance.
- Own high-leverage control-plane services with clear customer impact, strong reliability requirements, and room for deep technical exploration.
- Develop and maintain data abstraction services tailored for high-throughput, low-latency workloads.
- Implement and refine caching strategies using Redis, Memcached, and similar technologies to enhance system efficiency.
- Collaborate with teams across infrastructure, platform, and application layers to ensure seamless data access and storage performance.
- Drive innovation in storage architecture by identifying and addressing scalability and efficiency challenges in distributed systems.
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Paid time off
- Paid sick leave
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance
- Mental health program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
