About the Role
Some of the problems you’ll be working on include:
- Building a highly scalable matching platform – handling millions of ride requests per second with ultra-low latency.
- Designing extensible architectures – creating a modular and flexible platform that allows new product innovations without complex rewrites.
- Evolving the ML platform for matching – enabling real-time inference, model deployment, and experimentation at scale.
What the Candidate Will Do ----
- Build and scale a low-latency platform powering millions of real-time match decisions per second
- Design modular systems that accelerate product innovation without rework
- Optimize for fairness, efficiency, and marketplace health at global scale
- Collaborate across product, infra, and ML teams to deliver business-critical impact
- - - - Basic Qualifications ----
- 6+ years experience working on the full software life cycle including gathering requirements, project planning, solution design, coding/implementation, testing, rollout/deployment and best practices as an individual contributor.
- Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#)
- Fast and passionate learner. Strong collaboration, documentation and communication skills.
- - - - Preferred Qualifications ----
- Experience with distributed systems or microservice architectures.
- Experience with relational databases and distributed storage systems (MySQL, Cassandra).
- Experience with shipping efficient, reliable, crash-free code that reaches millions of users.
For Canada-based roles: The base salary range for this role is CAD$164,000 per year - CAD$182,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .