Job Description
<div class="content-intro"><p><img style="display: none; max-width: 100%;" src="https://click.appcast.io/greenhouse-te8/a31.png?ent=34e=22630t=1701374353806" width="1px"> <img style="display: none; max-width: 100%;" src="https://track.jobadx.com/v1/i.gif?utm_pixel=224e990b-8ff4-4287-8d5d-2ff09647f181utm_ptz=ESTutm_rqt=track" alt="" width="1"></p></div><h1>About the Team</h1>
<p>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.</p>
<h1><strong>About the Role</strong></h1>
<p>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.</p>
<p>This role is available across three teams within Storage, each solving unique and high-impact challenges:</p>
<ul>
<li>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.</li>
<li>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.</li>
<li>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.<br><br></li>
</ul>
<p>If you're passionate about distributed systems, developer experience, and building foundational infrastructure at scale, we'd love to hear from you.</p>
<p>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.</p>
<h1><strong>You’re excited about this opportunity because you will…</strong></h1>
<ul>
<li>Build and optimize distributed storage systems that improve data reliability, consistency, and performance.</li>
<li>Develop and maintain data abstraction services tailored for high-throughput, low-latency workloads.</li>
<li>Implement and refine caching strategies using Redis, Memcached, and similar technologies to enhance system efficiency.</li>
<li>Collaborate with teams across infrastructure, platform, and application layers to ensure seamless data access and storage performance.</li>
<li>Drive innovation in storage architecture by identifying and addressing scalability and efficiency challenges in distributed systems.</li>
</ul>
<h1><strong>We’re excited about you because…</strong></h1>
<ul>
<li>You have 2+ years of experience in designing, building and maintaining scalable, distributed data infrastructure.</li>
<li>You are proficient in GoLang, or Java with a deeper expertise in multi-threading, distributed systems and databases.</li>
<li>You have deep expertise in NoSQL databases (Cassandra, DynamoDB, or similar) and distributed caching systems (Redis, Memcached).</li>
<li>You have built and optimized high-scale data storage systems with a focus on reliability, availability, and performance.</li>
<li>You thrive in a fast-paced, execution-driven environment and have a proven track record of delivering impactful storage solutions.</li>
</ul>
<p> </p>
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