Software Engineer I
About the role and team
Engineering at Uber means building for real-world impact under real-world constraints. You’ll join a team that builds the platforms and services powering safe, affordable, and reliable movement in over 10,000 cities worldwide. The problems are complex, the systems are massive, and the pace is fast, requiring you to make smart decisions with guidance from seasoned peers. If you think in systems and care about building things that actually work for millions of people, this is where you'll grow.
We’re not looking for someone who just follows a manual; we need builders who thrive in ambiguity and own their growth. You’ll be part of a high-performance culture marked by perseverance, where your code directly impacts earners, riders, and merchants every day. This is a unique environment where the digital and physical worlds intersect, and every line of code helps move the world forward. You will face shifting priorities and legacy trade-offs, but that is exactly what makes the work meaningful and your impact tangible.
Rate of Pay: $153,000 to $169,000 per Year
You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
What you’ll do
- Design, develop, and test software applications.
- Design, develop, and/or test software applications using company technology stack.
- Apply technical knowledge to evaluate complex data, developments, and projects in order to provide recommendations to resolve technical issues.
- Support the company's business operations and improve engineering productivity.
- Build software components that can be integrated into a fully functional software system.
- Solve production issues in product and system reliability.
- May telecommute.
Basic qualifications
- Employer will accept a Bachelor's degree in Computer Science, Software Engineering, or related field.
- Position requires:
- Object Oriented Programming (C++, Python, or Java) and Source Control (GIT or SVN);
- SQL and No-SQL databases;
- Data structures and algorithms development and functionality;
- Designing technology stacks;
- Debugging and monitoring for production services;
- Software Development Lifecycle;
- Operations Research;
- Machine Learning and AI.