**About the Role** The Streaming Data team builds and operates the real-time nervous system for all of Uber's core services, processing billions of critical messages for everything from ETAs to driver-rider communications. In this role, you will lead the design of highly-scalable data solutions, directly improving the reliability and performance that defines the Uber experience for millions of users, while also contributing key innovations back to the open-source community. As a Staff Software Engineer, you will operate as a key technical leader and force multiplier for the entire engineering organization. You will be entrusted with our most complex and ambiguous challenges, driving the technical strategy and architectural vision for critical, cross-functional initiatives. Your primary focus will be on designing and building scalable, resilient systems that serve as the foundation for future product innovation. **\-\-\-\- What the Candidate Will Do ----** 1. Architect, design, develop, test, deploy, maintain, and enhance large scale real-time data infrastructure systems. 2. Collaborate with product teams to extract requirements to develop scalable and flexible systems 3. Manage project priorities, deadlines, and deliverables 4. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. 5. Mentor all levels of engineers in owning the implementation and rollout of complex features that have an impact across Uber 6. Set the example for operational excellence on the team and across the Platform Team. 7. Maintain currency on, if not create, industry trends for new architectures, features, and off-the-shelf services; guide the team’s decision-making on incorporating industry trends **\-\-\-\- Basic Qualifications ----** 1. 8+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS, or equivalent experience, or 5+ years of experience with a PhD 2. Hands on experience building and operating large scale distributed databases and offline data ingestion pipelines to export data from underlying storage. 3. Ability to provide technical leadership, mentorship and guiding teams on best practices around data ingestion systems 4. Demonstrate strong ownership and ability to effectively plan multi month projects and deliver them in a timely manner **\-\-\-\- Preferred Qualifications ----** 1. Under the hood experience with Flink, Kafka, Samza and other Streaming technologies is a strong plus. 2. Experience with highly available/fault-tolerant distributed systems, large-scale data processing systems, or enterprise/cloud storage systems is also a strong plus. 3. Strong communication & leadership skills and the ability to work collaboratively in a team environment. 4. Experience collaborating with infrastructure, backend, ml, analytics teams, product and business partners, and provide guidance to individual teams. Uber'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 fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity 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](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.