Job Description

About the Role

At Uber, our mission is to ignite opportunity by setting the world in motion. The Platform Engineering organization plays a foundational role in enabling our engineers to move fast, build reliably, and operate at scale.



We are looking for a passionate and experienced

Engineering Manager

to lead two critical teams within the

Real-Time Data Platform

group:

Kafka

and

Flink

. These teams provide the infrastructure, tooling, and platform capabilities that power real-time streaming use cases across Uber - from trip events and fraud detection to dynamic pricing and observability systems.



As the Engineering Manager, you'll be responsible for driving the strategy, execution, and people development for both teams, ensuring that Uber's data infrastructure remains robust, scalable, and forward-looking.

What you'll do

You'll be joining a foundational team that empowers mission-critical real-time capabilities across all of Uber. The platform you build will impact every Uber experience - from a rider taking a trip, to Eats deliveries, to mobility data powering cities. You'll have the opportunity to shape the future of data infrastructure at Uber, working alongside some of the best engineers in the industry.

What you'll Need

1+ years of experience in

engineering management

, and 8+ years overall in software engineering roles. Proven experience leading infrastructure or platform teams at scale. Deep understanding of

stream processing

,

distributed systems

, and

real-time data architectures

. Hands-on experience or deep familiarity with

Kafka

,

Flink

, or equivalent technologies. Strong leadership skills with a track record of building and mentoring high-performing teams. Excellent communication skills and experience collaborating with stakeholders across geographies.


Background in building self-serve platforms or developer productivity tools. Familiarity with cloud-native ecosystems and resource orchestration frameworks like Kubernetes. * Ability to balance technical depth with business impact.