About the Role

The Kafka team at Uber is responsible for building and maintaining the mission-critical data processing and messaging platform that powers our real-time data streaming and processing needs. This infrastructure supports various Uber business, including rides, deliveries, operations, and more, ensuring reliable, fast, and scalable data highway. You can also find a little more details about our team at https://www.datastreamingawards.io/winners/uber.

We are looking for an experienced Senior Engineer to play a key role in enhancing and optimizing our Kafka capabilities. The ideal candidate will bring extensive expertise in distributed systems, stream processing, and scalability. You will get to work on cutting-edge technologies and collaborate with industry experts in fields ranging from distributed systems to data engineering.

What the Candidate Will Do

• Design, develop, and maintain scalable Kafka infrastructure.
• Optimize Kafka clusters for performance, reliability, and scalability.
• Collaborate with cross-functional teams to understand requirements and deliver solutions that meet business needs.
• Troubleshoot and resolve complex issues related to Kafka and real-time data streaming.
• Implement monitoring and alerting solutions to ensure the health and performance of Kafka clusters.
• Stay current with industry trends and best practices in distributed systems and data streaming technologies.

Basic Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Extensive experience with Apache Kafka and related technologies.
• Strong understanding of distributed systems and stream processing.
• Proficient in programming languages such as Java, or Go.
• Excellent problem-solving skills and the ability to troubleshoot complex issues.
• Strong communication skills and the ability to work collaboratively in a team environment.

Preferred Qualifications

• Experience with messaging and stream processing technologies such as Apache Kafka, Apache Pulsar, Apache Flink, or Apache Storm. Kafka committer is a big plus.
• Experience with highly available/fault-tolerant distributed systems, large-scale data processing systems, or enterprise/cloud storage systems is also a strong plus

For Seattle, WA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For all US locations, you will be eligible to participate in Uber’s bonus program, and may be offered an equity award & 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.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.