Software Engineering • Mid-Level

Who you are

You have a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, and you bring 2 years of full-time software engineering experience to the table. Your expertise includes working with Java and Scala, and you have a solid understanding of streaming data processing, particularly with Apache Flink. You are comfortable diving deep into system internals and troubleshooting performance issues, ensuring that the systems you work on are resilient and efficient.

You thrive in collaborative environments, working closely with senior engineers to optimize existing data pipelines and maintain high standards of engineering documentation. Your attention to detail ensures that you contribute to code reviews effectively, helping to uphold the quality of the Ads Metrics platform. You are also prepared to participate in on-call rotations, monitoring production systems and responding to alerts to maintain high availability.

What you'll do

As a core member of the Ads Metrics & Attribution team, you will design, develop, and test scalable streaming features that support new ad products and attribution requirements. Your work will involve maintaining and optimizing existing data pipelines to ensure the accurate transport of billions of ad engagement signals. You will collaborate with senior engineers to perform deep dives into Flink internals, troubleshooting performance bottlenecks and improving system resilience. Writing clear technical documentation will be part of your responsibilities, as will contributing to code reviews to ensure high engineering standards across the platform.

What we offer

At Uber, you will be part of a team that is critical to the success of our global advertising business. We offer a dynamic work environment where you can grow your skills and make a significant impact. You will have the opportunity to work on cutting-edge technologies and contribute to projects that drive ROI for advertisers and power growth across Uber’s ads ecosystem. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.