About the Role
Uber's business relies on insights derived from real-time data by using Streaming Analytics. Our team built two streaming platforms, AthenaX and Flink as a Service (FaaS) on top of Apache Flink that powers many core trip flow applications with 4 9 availability and sub second latency, such as surge pricing for marketplace, push notifications to Apps, ETA calculations for maps.
As manager of the Athena team, you will lead the team to design, implement, optimize, and manage large scale streaming compute 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 the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----

• Manage a strong team of senior engineers and provide critical infrastructure for streaming analytics at Uber.
• Understand the internals of Apache Flink, improve the platform usability and efficiency by building Presto SQL top of Flink, optimize on the runtime, data delivery completeness, unifying streaming and batch processing top of Flink.
• Improve streaming engine reliability to achieve zero downtime for critical use cases.
• Work with multiple partner teams within and outside of Uber and build cross-functional solutions in a collaborative work environment.

---- Basic Qualifications ----

• Bachelor's degree in Computer Science or related field.
• 2+ years of experience managing backend data infra teams and 5+ years of industry experience.
• Solid understanding of Java for backend / streaming processing systems
• Experience working with Large Scale distributed systems, HDFS / Yarn.

---- Preferred Qualifications ----

• 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 SQL Compiler, SQL Plan / Runtime Optimization.
• Experience managing streaming processing systems with a strong availability SLA

At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We've grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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.
Uber is committed to a safe workplace. We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines. Workplace safety remains our number one priority. As a result, and depending on the workplace location, Uber either requires* or recommends employees be vaccinated to access any of our facilities; this is subject to change solely at the Company's discretion.
* 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 [email protected]