Software Engineer, Backend - Experimentation Platform

B.S., M.S., or PhD. in Computer Science or equivalent

2+ years of industry experience

Exceptionally strong knowledge of CS fundamental concepts and OOP languages

Deep understanding of REST principles and experience working with and implementing backend APIs

Great understanding of database technologies and choosing the right kind of storage layers for the problem at hand

Experience with Java/Kotlin/Python/Go-lang/Rust

If you want to solve the toughest engineering challenges, build cutting-edge experimentation products under rigorous operational constraints (high volume, correctness guarantees) and work with some of the smartest people in the industry, DoorDash’s Experimentation Platform is the right place for you. Come join us and be part of the mission.

You will report into the engineering manager on our Decision Engine team as part of the Decision Systems team. We expect this role to be hybrid (San Francisco, Sunnyvale, Seattle, New York) with some time in-office and some time remote.

Work on dramatically enhancing and simplifying the Experimentation platform which is used by almost every engineer in the company.

Have the opportunity to build a new Experimentation platform from the ground up and make your mark on the system design as well as product experience.

Work on the end-to-end developing cutting-edge methodologies with fast iteration and huge impact on the business.

The Experimentation Platform Team develops a state-of-the-art platform in industry that enables Product Engineers, Data Scientists, ML Engineers and non-technical audiences to come up with hypotheses; design, configure and analyze experiments; and conduct exploratory and causal analysis. At DoorDash, where we run thousands of experiments per year, our mission is to equip all decision makers with rigorous, data-driven insights by democratizing experimentation with quality and velocity. The team consists of a mix of experienced veterans of backend, web, statistical and data infra engineers and work closely with the data science community.

Some of the interesting work done in the team was published in articles such as:(1)

Meet Dash-AB-The Statistics Engine of Experimentation at DoorDash

, (2)

Supporting Rapid Product Iteration with an Experimentation Analysis Platform

. We help enable and unlock interesting solutions our product teams use such as (3)