About the Team

The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The Cassandra team under Storage is looking for passionate distributed systems engineers to architect and scale the next evolution of our Cassandra ecosystem. This team plays a critical role in scaling and hardening DoorDash's foundational key-value storage systems, powering mission-critical Tier 0 workloads across the company. This is a rare opportunity to shape the future of Cassandra at DoorDash, designing and scaling systems to meet 100x growth demands. You will help evolve our Cassandra ecosystem with a focus on end to end automation including building a self-service control plane, deep observability, and advanced online to offline infrastructure. You will also contribute to the upstream Apache Cassandra ecosystem where applicable, working alongside the open-source community.

About the Role

The Storage team is building and operating a high performance, scalable, reliable data abstraction layer that optimizes reliability and efficiency. You will help us bootstrap and scale our internal distributed database infrastructure centered around Cassandra, with a focus on reliability, operability, security and efficiency. This infrastructure will be the backbone of a platform that strives to manage itself and disappear into the background, enabling engineers to focus on building product experiences our customers love. You will report into the Engineering Manager on our Storage team within the Core Infrastructure Organization. You will have the opportunity to contribute to open-source projects and improve the ecosystem for its community.

You’re excited about this opportunity because you will…

• Play a foundational role in shaping the direction of Cassandra ecosystem at DoorDash, helping define long-term strategy and platform capabilities.
• Build the future of Cassandra at DoorDash, including self-serve provisioning, elastic scaling, multi-tenant controls, and deeply integrated observability.
• Operate one of DoorDash’s most critical stateful systems, supporting high-throughput, low-latency production workloads at scale.
• Partner with the Storage Orchestration team to define automation and fleet management capabilities.
• Lead architectural improvements that enhance availability, fault tolerance, consistency, and multi-region durability.
• Define operational standards for schema governance, disaster recovery, backup and restore, and capacity planning.
• Have the chance to troubleshoot, debug and learn from interesting production problems at multiple layers of the infrastructure stack.

We’re excited about you because…

• You have 5+ years of experience building distributed systems with deep understanding of Cassandra internals, including replication, compaction, GC tuning, and JVM performance.
• You have experience managing large fleets of database clusters, including building tools, monitoring, capacity planning, backups and disaster recovery strategies.
• You are proficient in system-level fundamentals including operating systems, hardware, and networking.
• You understand the tradeoffs of distributed system consistency, failure modes, and partition tolerance.
• You have contributed to or are interested in contributing to open-source distributed database projects.
• You thrive in a fast-paced, execution-driven environment and have a proven track record of delivering impactful storage solutions.
• Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

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 in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related f