Software Engineer II - Earner Incentive

Some of the problems you'll be working on include:

Scaling a Global Incentive Engine: Design and develop a high-throughput platform that powers millions of incentives across thousands of cities in real-time.

Extensible Architecture: Build modular, extensible systems that allow our incentive mechanisms to evolve.

ML-Integrated Backends: Build the infrastructure that makes our algorithms effective. You'll create robust workflows for ML inference and optimization, directly influencing how incentives are generated and delivered at Uber scale.

What the you will do ----

1. As a backend engineer, you will architect, design and build software solutions to help with all aspects of capacity planning/management/engineering to scale Uber's infrastructure across a variety of sophisticated workflows and business processes.
2. Design end-to-end features and systems to build high quality consumer-facing products.
3. Write code, test, and maintain production services for high availability, reliability, and performance.
4. Work with ML engineers and scientists to develop ML models to improve product performance.
5. Work with Product Managers to understand product requirements and lead product rollout plans.
6. Mentor junior team members.
7. You will collaborate with other teammates to maintain the health of our systems and codebase, refactor and make improvements, and keep our systems robust and resilient.

---- Basic Qualifications ----

1. 2+ 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.
2. Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#)
3. Fast and passionate learner. Strong collaboration, documentation and communication skills.

---- Preferred Qualifications ----

1. Experience building consumer-facing products.
2. Experience designing and implementing large-scale service with excellent quality.
3. Experience working with Machine Learning engineers and scientists on ML model deployment.
4. Experience collaborating with other engineers and non-tech stakeholders, both to meet short-term goals and to create long-term partnerships

For Canada-based roles: Uber may use artificial intelligence (AI) tools to support parts of our recruiting process; however, Uber employees make the ultimate selection and hiring decisions. This advertisement relates to a current, existing vacancy.

For Canada-based roles: The base salary range for this role is CAD$144,000 per year - CAD$160,000 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 https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*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 accommodations@uber.com.

Client-provided location(s): Toronto, Canada

Job ID: Uber-157791

Employment Type: FULL_TIME

Posted: 2026-04-02T00:15:30