We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on new modalities, self-driving cars and even urban air transportation, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
Are you a skilled software engineer who wants to be part of one of the fastest growing and exciting startup companies on the planet? Are you passionate about massive scalability and making our excellent technology available in international markets? Do you want to make meaningful contributions to Uber's success? If you answered yes to these questions, then we want to talk with you. We believe that people are one of the most important assets to Uber and because of that we foster an environment that is welcoming to diverse perspectives.
What you'll do
We're looking people who are excellent at fundamentals, have great willingness to learn, and have unstoppable desire to follow through with the job.
Our technology stack is primarily Python/GO and while experience with these languages is great, it's not a necessity. World-class engineering is the focus at Uber, not the tools/languages that you already know.
Finance Engineering team models Uber's financials using mathematical, statistical, and computational algorithms. The goal of our team is not only to spur revenue & other financial metrics to financial users, but also to provide a deep insight across Uber for their day-to-day financial activities and decision makings. Our critical areas include: Revenue Computations, Rider and Partner Payments, Profit Modeling and Fraud. The technical challenges come with the volumes we deal with and real-time solutions we provide.
Who you are
Fast, independent learner: The one constant at Uber is growth, and all of our systems are constantly evolving to meet the needs of our high growth environment. Engineers are expected to learning quickly and continue to improve their craft to ensure that our systems can meet the needs of our business.
Bold: Our growth requires embracing change with sureness and boldness. We expect our engineers to be proactive about addressing both operational and scalability challenges as we grow.
Skilled at architecture: The services we build are highly scalable, robust, and fault-tolerant. Our engineers know the trade offs involved in building high scale architectures. We are committed to making timely decisions to ensure that our systems can continue to match our rider and partner growth.
Passionate: Engineers at Uber know what it means to truly own their services. Quality, performance, and robustness are expected of all services. Engineers take ownership of the uptime of their services, and they are empowered with the tools to do what is needed to keep them running. Great monitoring, alerting, and test coverage are championed at Uber and we provide engineers with the tools to do so.
Experienced at Cross Team Communication: We work closely with business groups like Revenue, Accounting and other engineering teams like real time, market place, growth etc. We communicate to address new challenges, work through requirements, and improve our operational efficiency. We also work closely with our Fraud team to identify bad actors in our financial systems and neutralize any threats. Supporting these other groups is a key part of scaling our business.
What you'll need
At least 7 years of meaningful solo contributor experience as a software engineer
Prior experience as a tech lead who has mentored/led small teams in building product features at scale
The ability to go deep, but also appreciate the challenge of going broad. Uber has a huge stack, and we're all over it: backend services, real-time dispatch, machine learning, mobile, web development, data and analytics, infrastructure, marketing systems.
Advanced knowledge of some and a willingness to learn the rest: Python, node.js, Java etc.
Intelligence. High adaptability. Ability to learn quickly.
Knowledge of the principles of accessibility and ability to build products that are accessible to users with disabilities, a plus.
Be sure to check out the Uber EngineeringBlogto learn more about the team.
Uber'de farklılığı sadece kabul etmeyiz, farklılığı kutları, destekleriz ve çalışanlarımız, ürünlerimiz ve topluluğumuzun yararı için geliştiririz. Uber, eş fırsatlara sahip bir çalışma ortamı ve pozitif ayrımcı işveren olmaktan gurur duyar. Kendimizi ırk, renk, soy, din, cinsiyet, ulusal köken, cinsel yönelim, yaş, yurttaşlık, medeni durum, maluliyet, cinsel kimlik veya emeklilik durumu gözetmeksizin eşit istihdam sağlamaya adamış durumdayız.