Uber Staff Software Engineer Fullstack Capacity & Efficiency Engineering 

United States, West Virginia 

155881190

About the Role

- - - - What the Candidate Will Do ----

• Work with teams across Uber to identify, model and project capacity needs over time, help scale services and platforms within our capacity budget and find opportunities to make Uber more efficient.
• You will build products and services that are highly available and scalable to serve our customers.
• As a frontend engineer, you will design and build web applications with the latest web technologies - React, GraphQL, Flow, Typescript, CSS in JS, node.js, and leveraging open-source frameworks built by Uber such as Base UI, styletron, and Fusion.js to build compelling solutions.
• As a backend engineer, you will architect, design and build software solutions to help with all aspects of capacity planning/management/engineering to scale Uber’s infrastructure across a variety of sophisticated workflows and business processes.
• You will collaborate with other teammates to maintain the health of our systems and codebase, refactor and make improvements, and keep our systems robust and resilient.
• Write clear documentation so that other engineers can partner to contribute and deliver.
• Be a mentor and trusted advisor for both our dedicated team members and passionate leaders alike.

- - - - Basic Qualifications ----

• BS or MS in Computer Science or a related technical field, or equivalent experience.
• Sound understanding of distributed system fundamentals.
• 6+ years of experience building distributed systems (for backend), interactive web applications (for frontend) and big data (for data engineering).
• Proficient in any of the following programming languages: Go, Python, Java, Javascript. Good scripting skills and the ability to pick up new ones.

- - - - Preferred Qualifications ----

• Experience with fullstack development.
• Front-end experience building complex FE applications using a type system with Javascript (Flow or Typescript). Experience with GraphQL.
• Background in building high-performance, scalable, distributed systems.
• Backend experience with data engineering, data pipelines, big data systems, data science, SQL, analytics.
• Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.
• Experience with a relational database (MySQL, PostgreSQL).
• Grit, drive and a strong sense of ownership coupled with an appetite for collaboration!

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .