Software Engineer, Backend - Experimentation Platform

About the Team 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) The 4 Principles DoorDash Used to Increase Its Logistics Experiment Capacity by 1000% , (4) Improving Online Experiment Capacity by 4X with Parallelization and Increased Sensitivity , etc. About the Role 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. You're excited about this opportunity because you will... 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. Work alongside our Product Engineers, Data Analysts, Data Scientists, ML Engineers and Data Infrastructure engineers to collaborate on important projects that need user interfaces and tools needed for workflows, data discovery, integrations and visualizations of various analytics. Evolve the platform to handle new statistical methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques. We're excited about you because you have… 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 Experience with documentation, unit and integration testing Nice to haves Prior experience with the nuanced world of Experiment configurations and feature flagging products Experience with any of the “Big Data” technologies (e.g. Postgres, Redis, Elasticsearch, Snowflake, Mode, Segment, Spark etc.) Experience in any data-science related subjects such as analytics, statistics, machine-learning, etc. Familiar with a cloud based environment such as AWS Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. ... (truncated, view full listing at source)