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DoorDash

Runs apps for local food and grocery delivery

Software Engineer - Storage, Distributed Caching

Backend EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • You have 6+ years of full-time experience designing, building, and operating distributed, stateful systems in production, at least 2 of which involved caching or key-value storage at meaningful scale.
  • You are proficient in Go, or Java/Kotlin with deep expertise in concurrency, distributed systems, and production-grade backend services.
  • You have hands-on experience with distributed caching technologies (Redis/Valkey, Memcached, or similar) and understand their failure modes: replication lag, failover, hot keys, and cache invalidation.
  • You understand distributed systems fundamentals: consistency models, sharding and partitioning, replication, and consensus, and can reason about their trade-offs from first principles.
  • You have built or operated systems that require careful capacity planning and cost discipline at scale, and you default to right-sizing over over-provisioning.
  • You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring, and releasing software.

Responsibilities

  • Own high-leverage caching and locking services with direct, measurable customer impact: cost, latency, and reliability at multi million QPS scale.
  • Build and scale Boulder, our KVRocks backed key-value store, including compaction, sharding, and domain isolation.
  • Re-platform the Distributed Lock Service onto a strongly consistent backend with sharding.
  • Contribute to the standardized smart caching client that bakes in failover, retry, and observability defaults so customers don't have to think about them.
  • Diagnose and resolve production issues that span cache invalidation storms, replication lag, hot shards, and noisy-neighbor contention, then turn each one into a durable guardrail rather than a one-off fix.
  • Collaborate closely with the teams that build on top of caching, including Taulu, ML Platform, and product engineering across DoorDash, Wolt, and Deliveroo.

Desired Qualifications

  • Hands-on experience with ElastiCache, Memcached, or Valkey in production.
  • Experience with KVRocks or RocksDB-family embedded storage engines (TiKV or similar), including compaction tuning and back-pressure handling.
  • Experience building or operating a distributed lock service.
  • Experience with Kubernetes and general cloud infrastructure operations.
  • Contributions to open-source caching, storage, or distributed systems projects.

About the Company

DoorDash

Runs apps for local food and grocery delivery

DoorDash runs apps that let people order restaurant meals, groceries, and other goods from local businesses, which independent couriers called Dashers bring to their doors. In 2019 it overtook Grubhub to become the largest food delivery service in the United States, and it later expanded abroad by buying Finland's Wolt and Britain's Deliveroo. Merchants pay DoorDash a fee on each order and can buy ads in its apps, while customers pay delivery and service fees or join DashPass, a subscription that cuts those fees. Businesses can also hire Dashers through its Drive service to carry orders placed on their own websites. Four Stanford students founded DoorDash in 2013, and it is based in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2013

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