Base Salary
$232k - $258k/yr
Responsibilities
- Define and drive the technical vision and architecture for Uber’s scalable, reliable, and extensible streaming data platform.
- Lead the design and evolution of large-scale distributed streaming systems involving coordination, consistency, fault tolerance, resource management, and high availability.
- Drive infrastructure modernization, performance optimization, scalability improvements, and cost-efficiency initiatives.
- Architect resilient multi-tenant infrastructure supporting demanding throughput, latency, durability, and availability requirements.
- Build platform capabilities for automation, observability, capacity management, and developer self-service.
- Lead complex cross-organizational initiatives from technical strategy and architecture through production adoption.
- Establish engineering excellence practices including architecture reviews, reliability standards, incident prevention, and root-cause analysis.
- Mentor senior engineers and collaborate with infrastructure, storage, data engineering, and product engineering teams.
Requirements
- 10+ 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 stringent 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 in production.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
- Preferred qualifications include expertise with Apache Kafka, Apache Pulsar, Apache Flink, Apache Spark, multi-region infrastructure, cloud-native infrastructure, container orchestration, CDC, event-driven systems, real-time analytics, data lakes, 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 ranges from USD $232,000 to $258,000 per year for roles based in San Francisco, Seattle, or Sunnyvale.
- Eligible full-time employees may participate in Uber’s bonus program, receive equity awards and other compensation, and participate in a 401(k) plan.
- Various employee benefits are available.
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.