Staff Software Engineer, Storage Platform (Tier-0)

DoorDash USA

New York, San Francisco, Seattle (NY, CA, WA)

Hybrid

USD 194,000 - 285,000

Full time

11 days ago
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Benefits offered by this job

Comprehensive benefits
401(k) with employer matching
Paid parental leave
Wellness benefits

Job summary

DoorDash is seeking a Staff Software Engineer for Storage (Taulu) in a hybrid role across New York, Bay Area, or Seattle. You will own the storage abstraction platform's reliability and performance at scale, shaping architecture and driving cross-team collaboration.

You will work deep in the data plane, influence roadmap decisions, mentor engineers, and own end-to-end platform lifecycle from onboarding to adoption, enabling 100x growth with robust, scalable systems.

Qualifications

  • 10+ years building large-scale distributed systems.
  • Experience with storage abstraction layers or data-access gateways.
  • Strong Go experience in production distributed systems.
  • Kubernetes and cloud-native infrastructure; strong observability instincts.

Responsibilities

  • Own the reliability, performance, and correctness of the storage abstraction platform at scale.
  • Set technical direction for the platform — storage abstraction, data-access layer, caching, and routing.
  • Work deep in the data plane — proxy, KV, CDC, and routing to address Tier 0 latency and scalability.
  • Shape the client surface — providers, code generation, and SDKs for polyglot clients.
  • Mentor senior engineers and influence roadmaps beyond your scope.
  • Own the platform lifecycle from onboarding through adoption and expansion.

Skills

Go programming
Distributed systems
Kubernetes
Observability
Storage internals
Data-plane concepts

Tools

DynamoDB
RocksDB
ZippyDB

Job description

DoorDash is seeking a Staff Software Engineer for Storage (Taulu) in a hybrid role across New York, Bay Area, or Seattle. You will own the storage abstraction platform's reliability and performance at scale, shaping architecture and driving cross-team collaboration.

You will work deep in the data plane, influence roadmap decisions, mentor engineers, and own end-to-end platform lifecycle from onboarding to adoption, enabling 100x growth with robust, scalable systems.

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