Our team has grown a lot in the last few years (currently 2K+ yarn nodes, 2800+ pipelines). As part of the Athena team, you will design, implement, optimize, and manage large scale streaming computing infrastructure. You will work on problems like unification of stream and batch, common DSL for streaming analytics, streaming ingestion for data lake, and minimum downtime support that will impact multiple business use cases at Uber scale. At the same time, you will also have the opportunity to collaborate with the open source community for Flink, Presto, Pinot, and Kafka.What you'll doExplore and Master Uber-Scale Big Data Systems * Gain deep, hands-on exposure to the internals of Uber's large-scale, real-time data infrastructure. Understand how high-throughput data systems operate and evolve in one of the world's most demanding environments.Advance Apache Flink Internals * Dive deep into the core of Apache Flink, enhancing its capabilities to meet Uber's needs.Collaborate Across the Ecosystem * Partner with teams across Uber-from infrastructure to product engineering-to design and deliver cross-functional, end-to-end data solutions. Influence architecture and data strategy through tight collaboration.Contribute to the Flink Open Source Community * Represent Uber in the Flink community by making core code contributions, sharing insights through talks and blog posts, and actively participating in working groups and conferences.What you'll needBachelor's degree in Computer Science or related field.2+ years of total experience Solid understanding of Java for backend / systems software development.MS / PhD in Computer Science or related field.Experience working with Apache Flink, Apache Samza/Storm, Apache Calcite, Apache Spark or similar analytics technologies. Experience working with Large Scale distributed systems, HDFS / Yarn / KubernetesUber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.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.*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.
