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About the Role

As a full stack engineer on the Experimentation Platform Team, you will build cutting-edge experimentation products with rigorous operational constraints. You will work across backend services, SDKs, and the Decision Portal UI, contributing to a mission of democratizing experimentation with quality and velocity. You will report into the engineering manager on our Decision Experience team as part of the Decision Systems team.

Responsibilities

Work on dramatically enhancing and simplifying the Experimentation platform.
Build a new Experimentation platform from the ground up, influencing system design and product experience.
Own features end-to-end, from APIs and data models to the React UI.
Collaborate with Product Engineers, Data Analysts, Data Scientists, ML Engineers, and Data Infrastructure engineers on user interfaces, tools, data discovery, integrations, and visualizations.
Introduce cutting-edge technologies, including LLM-powered tools, into experiment configuration, launch, and readout processes.
Evolve the platform to handle new statistical methodologies, machine learning, artificial intelligence technologies, and advanced causal inference and data mining techniques.

Requirements

B.S., M.S., or Ph.D. in Computer Science or equivalent.
2+ years of industry experience building web applications end-to-end.
Exceptionally strong knowledge of CS fundamental concepts and OOP languages.
Deep understanding of REST/gRPC principles and experience designing, implementing, and consuming backend APIs.
Great understanding of database technologies and choosing the right kind of storage layers.
Backend experience with Java, Kotlin, Python, or Go.
Experience with documentation, unit, integration, and end-to-end testing across frontend and backend.
A product mindset applied to platform services and user-facing tools.
Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) across the full software development lifecycle.

Skills

TypeScript with React on the frontend
REST/gRPC principles
Java
Kotlin
Python
Go
AI coding tools

Location

San Francisco
Sunnyvale
Seattle
New York

Work Type

Hybrid

Experience Level

2+ years of industry experience

Education Level

B.S., M.S., or Ph.D. in Computer Science or equivalent

Salary/Compensations

$130,600—$192,000 USD

Benefits

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave
Medical benefits
Dental benefits
Vision benefits
11 paid holidays
Disability and basic life insurance
Family-forming assistance
Mental health program

About the Company

At DoorDash, our mission is to empower local economies. We are a technology and logistics company that started by enabling door-to-door delivery and are expanding to include any and all goods.
DoorDash is growing rapidly and changing constantly, offering opportunities to share unique perspectives, solve new challenges, and own careers.
We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Equal Opportunity

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. We hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
No employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
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.
We will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.