Base Salary
$202k - $224k/yr
Responsibilities
- Define and drive the long-term technical vision and architecture for Uber’s streaming data platform.
- Design and evolve large-scale distributed streaming systems addressing data delivery, coordination, consistency, fault tolerance, resource management, and availability.
- Drive architectural modernization, performance optimization, scalability improvements, and cost efficiency across streaming infrastructure.
- Build foundational capabilities for automation, observability, capacity management, and self-service platform tooling.
- Lead complex cross-organizational initiatives from strategy and architecture through implementation and production adoption.
- Establish engineering standards for architecture reviews, reliability, incident prevention, and root-cause analysis.
- Mentor senior engineers and collaborate with infrastructure, storage, data engineering, and product engineering organizations.
Requirements
- 6+ years of professional software engineering experience designing, building, and operating large-scale distributed systems, infrastructure platforms, or data-intensive services.
- Deep knowledge of distributed-systems principles including consistency, replication, consensus, fault tolerance, concurrency, coordination, and failure recovery.
- Experience architecting high-performance, highly available systems with demanding throughput, latency, reliability, and durability requirements.
- Strong proficiency in one or more systems or backend languages, including Java, Go, C++, Scala, Python, or Rust.
- Experience with large-scale data infrastructure, distributed messaging systems, stream-processing platforms, or related technologies.
- Demonstrated technical leadership across complex, multi-team engineering initiatives and organizational boundaries.
- Expertise in performance analysis, scalability engineering, and troubleshooting distributed infrastructure under production workloads.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
- Preferred experience with Apache Kafka, Apache Pulsar, Apache Flink, Apache Spark, distributed data-system internals, multi-region infrastructure, multi-tenant platforms, cloud-native infrastructure, and open-source distributed systems.
- An advanced degree in Computer Science or a related field focused on distributed computing, storage systems, or system performance is preferred.
Benefits
- Base salary is USD $202,000–$224,000 per year for roles based in San Francisco, Seattle, or Sunnyvale.
- Eligibility for Uber’s bonus program and potential equity awards and other compensation.
- Eligibility for a 401(k) plan and various benefits for full-time employees.
Tech Stack
Categories
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber 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 powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.