Software Engineer II- Full Stack - Engagement Growth

Software Engineer II- Full Stack - Engagement Growth Department: Engineering Team: Fullstack Location: New York, United States Type: Full-Time **About the Role** Uber Eats is our food delivery platform that makes getting great food from your favorite local restaurants as easy as requesting a ride. As a full stack engineer on the Engagement Growth team within Uber Eats, you’ll be building amazing design and data-driven features for eaters, delivery partners, and new verticals to help grow the business. The goal of these products is to provide affordable everyday options and optimal experiences for all sides of the Eats marketplace. You will continually strive to unlock greater efficiency and revenue for courier/restaurant partners, and improve the overall efficiency of the UberEats marketplace. The role would entail strong partnership with cross functional teams across Delivery to drive deeply collaborated initiatives, build frameworks and solutions that help drive the long term strategy for the business. **\-\-\-\- What the Candidate Will Do ----** 1. Building features at scale by writing maintainable and extensible code with high quality tests and documentation for the Engagement Growth team at Uber 2. Participate in code reviews, provide feedback, and maintain code quality standards to ensure the reliability and maintainability of the web and backend codebase. 3. Troubleshoot issues reported by users or identified during testing, and work towards timely resolution. 4. Understand and use existing systems efficiently, contributing to them where necessary **\-\-\-\- Basic Qualifications ----** 01. Bachelor’s degree in Computer Science or related technical field or equivalent practical experience 02. 1-2+ years of experience in professional software development experience, developing and deploying systems in production environments 03. Good understanding of software experimentation philosophy in the earlier work with an understanding of setting up A/B experiments for hypothesis testing. 04. Build instrumentation in the experiments, understand and mine insights, and investigate these to help product wit