Software Engineer - Experimentation Platform - Remote

Overview

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 month, 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.

In Short

• Work on dramatically enhancing and simplifying the Experimentation Configuration 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.
• Deal with high volume (on the order of 80M QPS) and low latency (on the order of microseconds) evaluations for both experiments and feature flags.
• Work on the end-to-end developing cutting-edge features 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.

Requirements

• B.S., M.S., or PhD. in Computer Science or equivalent
• 4+ 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
• Prior experience with the nuanced world of Experiment configurations and feature flagging products
• Experience with Java/Kotlin/Python/Go-lang/Rust
• Experience with documentation, unit and integration testing
• Nice to haves
• 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

Benefits

• Comprehensive benefits package including 401(k) plan with employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays.
• Paid sick leave in compliance with applicable laws.
• Medical, dental, and vision benefits, disability and basic life insurance, family-forming assistance, and a mental health program.