Software Engineer II - Streaming Platform

Software Engineer II - Streaming Platform Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time **About the Role** The streaming platform team is responsible for providing the streaming processing and analytics technology offerings to the engineering teams at Uber. We provide infrastructure and platform services to power thousands of Flink jobs and workflows, process trillions of messages per day with seconds latency and data freshness. We are looking for a Software Engineer II to join our team to help refine and optimize our streaming platform capabilities while keeping a close tie with our stakeholders. You will work on building solutions that drive our business by scaling our current streaming system, exploring venture bets and collaborating with experts in infrastructure and product managers to deliver results. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Design and implement features of a high-performance streaming platform, prioritizing scalability, reliability, and efficiency. 2. Develop and implement state-of-the-art streaming platform, enhancing quality, reliability and performance. 3. Optimize existing streaming infrastructure for efficiency, latency, and freshness. 4. Apply GenAI into platform efficiency, customer support, text to SQL, and etc. 5. Contribute to open source like Apache Kafka, Apache Flink, Apache Hudi for internal business needs 6. Provide technical support for platform customers. \-\-\-\- Basic Qualifications ---- 1. BS or MS in Computer Science or a related technical discipline, or equivalent experience 2. 2+ years of professional software engineering experience. 3. Proficient in one of the following programming languages: Java, Go, C/C++. Good scripting skills and ability to pick up new ones. 4. Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis \-\-\-\- Preferred Qualifications ---- 1. Under the hood experience with Flink, Kafka, Storm, Samza and other Streaming technologies is a strong plus 2. Experience with highly avai