Software Engineer, Storage

San Francisco, CA;
Sunnyvale, CA;
Seattle, WA;
New York, NY

The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for Door Dash 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 Cockroach

DB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers.

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 Cockroach
  
  DB, 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 Door Dash, 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.

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.

• Build and optimize distributed storage systems that improve data reliability, consistency, and performance.
• 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.

• 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 No
  
  SQL databases (Cassandra, Dynamo
  
  DB, 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 Covey Scout for Inbound on August 21, 2023.

Please see the independent bias audit report covering our use of Covey here.

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants.

Talk to your recruiter for more…