
Connecting food lovers with local restaurants
DoorDash is a leading local food delivery platform headquartered in San Francisco, CA, connecting food lovers with over 450,000 restaurants across the U.S. and Canada. Since its IPO in 2020, which was one of the largest of the year, DoorDash has raised $2.5 billion in funding and now employs over 1,...
DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...
DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...

DoorDash USA • San Francisco, CA; Sunnyvale, CA; Seattle, WA; New York, NY
DoorDash is hiring a Distributed Systems Engineer to architect and scale their Cassandra ecosystem. You'll focus on building reliable and efficient online stateful systems. This role requires expertise in distributed systems and a passion for automation.
You have a strong background in distributed systems engineering, with experience in building and operating stateful systems that are reliable, efficient, and secure. You understand the complexities of managing large-scale data infrastructures and have a passion for optimizing performance and reliability. Your expertise in Cassandra is complemented by your ability to work collaboratively with engineering teams to deliver impactful solutions. You are comfortable with automation and have a keen interest in contributing to open-source projects, particularly within the Apache Cassandra ecosystem.
You thrive in environments that challenge you to think critically and creatively about system architecture and design. You have a track record of successfully scaling systems to meet growing demands, and you are adept at implementing end-to-end automation strategies. Your communication skills enable you to articulate complex technical concepts to both technical and non-technical stakeholders, fostering collaboration across teams.
Experience with cloud platforms and container orchestration tools is a plus, as is familiarity with observability tools that enhance system monitoring and performance tracking. You are eager to learn and adapt to new technologies and methodologies that can improve system efficiency and reliability.
In this role, you will be responsible for architecting and scaling DoorDash's Cassandra ecosystem to support mission-critical workloads. You will work closely with the Storage team to build a high-performance data abstraction layer that optimizes reliability and efficiency. Your contributions will directly impact the scalability of DoorDash's foundational key-value storage systems, enabling the company to meet its ambitious growth targets.
You will lead initiatives to enhance the self-service capabilities of the Cassandra infrastructure, focusing on automation and deep observability. This includes designing and implementing a self-service control plane that empowers engineers to manage their data needs effectively. You will also collaborate with the open-source community to contribute improvements back to the upstream Apache Cassandra project, ensuring that your work benefits a broader audience.
Your role will involve continuous monitoring and optimization of the distributed database infrastructure, ensuring that it remains secure, efficient, and reliable. You will engage in troubleshooting and resolving complex issues that arise within the system, leveraging your expertise to maintain high availability and performance standards.
At DoorDash, you will be part of a dynamic team that values innovation and collaboration. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will have the chance to work on cutting-edge technologies and contribute to projects that have a significant impact on the company's success. Join us in shaping the future of our data infrastructure and delivering exceptional experiences for our customers.
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