Staff Software Engineer, Storage - Taulu

The posting, as DoorDash wrote it

About the Team

The Storage organization builds and operates the online stateful systems and abstractions that DoorDash Engineering depends on: reliable, efficient, secure, and easy to use. Within Storage, the Distributed Key Value team owns the storage platform that powers business-critical workloads across DoorDash, Wolt, and Deliveroo.

These systems sit on the Tier-0 critical path. They serve millions of QPS across multiple regions and underpin how hundreds of engineering teams build reliable systems at massive scale.

About the role

DoorDash's storage abstraction platform is a unified data-access layer that sits in front of our databases and decouples application teams from the underlying storage engines, similar to modern data-gateway and key-value / time-series data-abstraction platforms. Nearly every request that touches persistent data flows through it.

As DoorDash scales 10x–100x across new verticals, global expansion, and acquisitions, this platform is where the hardest distributed-storage problems live — latency at the tail, request routing, and reliability under exponential load. We're hiring a Staff Software Engineer to be the domain specialist for the storage abstraction platform: a deep, opinionated technical leader who owns the reliability, performance, and correctness of the platform at scale, sets its technical direction, and raises the execution bar across the storage organization.

You must be located in the New York Metro Area, Bay Area or Seattle for this hybrid position. You will report to the Engineering Manager on our Distributed Key Value team within the Storage organization.

You're excited about this opportunity because you will…

• Own the reliability, performance, and correctness of the storage abstraction platform at scale, independently leading resolution of mission-critical issues in ambiguous, high-pressure situations.
• Set technical direction for the platform — the storage abstraction and data-access layer, provider model, caching, and routing — owning the architecture, quality, and long-term approach as it scales.
• Work deep in the data plane — proxy, KV, CDC, and routing — on the problems that define a Tier 0 system: p99/p999 latency, request routing, hot partitions, GC/MVCC behavior, and failure isolation.
• Shape the client surface — thin/thick providers, polyglot code generation, and SDKs — that connects application services to the platform.
• Act as a force multiplier and trusted technical advisor: raise the execution and quality bar for your team and partners, mentor senior engineers, and influence roadmaps beyond your immediate scope.
• Take end-to-end ownership of the platform lifecycle — guiding customers from onboarding through adoption, driving the offering forward and expanding its impact.
• Design and operate systems built for 100x growth, proactively engineering for exponential load rather than reacting to it, and eliminating single points of failure through documentation, automati

[…]
success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.

How it works: Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy https://help.doordash.com/en-us/legal/article/ax-privacy-notice and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Metaview is publicly available for review at https://trust.warden-ai.com/metaview/application-review .