> Markdown version of [/jobs/ext/657230-software-engineer-storage](https://www.wearedevelopers.com/jobs/ext/657230-software-engineer-storage). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Storage - **Company:** DOORDASH, INC. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $130,600.0 - $192,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Abstraction Layers, Application Programming Interfaces (APIs), Application Layers, Databases, Data Security, Distributed Data Store, Distributed Systems, Amazon DynamoDB, Memcached, NoSQL, Open Source Technology, Redis, Distributed Caching, Multithreading, Data Storage Technologies, Caching, Storage Technologies, Cassandra, Apache Kafka, Stream Processing, Golang - **Published:** June 26, 2026 - **Apply:** https://www.juju.com/job/00000000gb16sb ## About the Role + You have 2+ years of fulltime working 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 have expertise in workflow/orchestration engines (Temporal/Cadence/Argo, job runners) and modeling long-running, stateful workflows. + You thrive in a fast-paced, execution-driven environment and have a proven track record of delivering impactful storage solutions. ## Description 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 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. You're excited about this opportunity because you will… + 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. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [20 Essential Tools For Backend Development](https://www.wearedevelopers.com/magazine/218-20-essential-tools-for-backend-development) - [What does the history of data storage tell us about the future?](https://www.wearedevelopers.com/magazine/495-what-does-the-history-of-data-storage-tell-us-about-the-future)