1 day ago
Base Salary
$160k - $235k/yr
Responsibilities
- Own caching and locking services with measurable impact on cost, latency, and reliability at multi-million-QPS scale.
- Build and scale Boulder, including compaction, sharding, domain isolation, and real-time update support.
- Re-platform the Distributed Lock Service onto a strongly consistent backend with sharding.
- Contribute to standardized smart caching clients with failover, retry, and observability defaults.
- Diagnose production issues involving cache invalidation storms, replication lag, hot shards, and noisy-neighbor contention, then create durable guardrails.
- Build self-serve tooling and a recommendation engine that select appropriate caching backends based on workload characteristics.
- Collaborate with teams building on top of caching, including Taulu, ML Platform, and product engineering teams across DoorDash, Wolt, and Deliveroo.
- Use AI coding tools across the software development lifecycle, including design, code generation, testing, monitoring, and release.
Requirements
- 6+ years of full-time experience designing, building, and operating distributed stateful systems in production.
- At least 2 years of experience with caching or key-value storage at meaningful scale.
- Proficiency in Go, or Java/Kotlin with deep expertise in concurrency, distributed systems, and production-grade backend services.
- Hands-on experience with distributed caching technologies such as Redis, Valkey, or Memcached and their failure modes.
- Understanding of consistency models, sharding, partitioning, replication, consensus, and related trade-offs.
- Experience operating systems requiring capacity planning and cost discipline at scale.
- A proven track record of shipping reliable infrastructure end to end with broad ownership.
- Proficiency using AI coding tools such as Claude Code, Codex, or Cursor throughout the software development lifecycle.
- Preferred: production experience with ElastiCache, Memcached, or Valkey.
- Preferred: experience with KVRocks or RocksDB-family storage engines, including TiKV or similar systems, compaction tuning, and back-pressure handling.
- Preferred: experience building or operating a distributed lock service.
- Preferred: experience with Kubernetes and general cloud infrastructure operations.
- Preferred: contributions to open-source caching, storage, or distributed systems projects.
Benefits
- Hybrid position requiring residence in San Francisco, Seattle, or the New York Metro Area.
- Comprehensive benefits for regular employees, including medical, dental, vision, disability, and basic life insurance.
- 401(k) plan with employer matching and commuter benefits match.
- 16 weeks of paid parental leave, family-forming assistance, wellness benefits, and a mental health program.
- Paid time off, paid sick leave, 11 paid holidays, and flexible vacation for salaried roles.
- Equity grant opportunities in addition to base salary.
Tech Stack
Categories
About DoorDash
DoorDash builds a marketplace and logistics platform that connects consumers with local restaurants and retailers for on-demand delivery and pickup, powered by a network of independent Dashers. It earns through delivery fees, merchant commissions, advertising, DashPass subscriptions, and white-label fulfillment via DoorDash Drive. Founded in 2013 and headquartered in San Francisco, the public company operates across the U.S. and selected international markets, and also researches automation through DoorDash Labs.