Senior Real-Time Dispatch Platform Engineer

Uber

Seattle (WA)

On-site

USD 202,000 - 224,000

Full time

37 hours ago
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Benefits offered by this job

401(k) plan
Bonus program
Equity award

Job summary

Uber is seeking a Senior Software Engineer to own and scale the core dispatching systems. You will design low-latency distributed services, integrate production ML models, and collaborate across product, data science, and infrastructure teams to improve marketplace efficiency at scale.

You’ll lead performance tuning, capacity planning, and resilience efforts while mentoring engineers and driving cross-functional initiatives from concept to production.

Qualifications

  • 5+ years of professional software engineering experience building production systems.
  • Strong proficiency in at least one modern backend programming language (Go, Java, C++, or Python).
  • Deep understanding of CS fundamentals: data structures, algorithms, concurrency, distributed systems.
  • Bachelor’s degree in CS/Engineering/Math or equivalent experience.

Responsibilities

  • Design and scale real-time distributed systems with millisecond latency.
  • Modularize the platform with domain-driven abstractions and robust APIs.
  • Bridge systems with ML components for real-time inference, pricing, ETA, and matching.
  • Optimize marketplace health with algorithms for efficiency, liquidity, and reliability.
  • Lead performance profiling, capacity planning, and chaos testing to raise reliability.

Skills

Go
Java
C++
Python

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).

Tools

Cassandra
MySQL
Redis
Apache Kafka
Apache Flink

Job description

Uber is seeking a Senior Software Engineer to own and scale the core dispatching systems. You will design low-latency distributed services, integrate production ML models, and collaborate across product, data science, and infrastructure teams to improve marketplace efficiency at scale.

You’ll lead performance tuning, capacity planning, and resilience efforts while mentoring engineers and driving cross-functional initiatives from concept to production.

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