Responsibilities
- Lead architecture and end-to-end delivery of high-impact Maps Search projects from problem definition through launch and ongoing operation.
- Design, build, and evolve scalable backend services for query handling, autocomplete, retrieval, result aggregation, and recommendation serving.
- Improve latency, availability, relevance, and operational health for high-throughput search systems using production data and signals.
- Build and maintain data pipelines and serving infrastructure that bring search and machine-learning capabilities into production.
- Set durable technical direction, communicate system-level tradeoffs, and coordinate dependencies across product, machine learning, science, mobile, and infrastructure teams.
- Raise engineering quality through design reviews, code reviews, engineering standards, and hands-on mentorship.
- Improve observability, incident follow-up, capacity planning, and on-call health.
Requirements
- 8+ years of professional software engineering experience building and operating backend services or distributed systems.
- Strong programming skills in at least one backend language, including Java, Go, C++, or Python.
- Demonstrated technical leadership on complex cross-team projects, including architecture ownership and delivery from conception to production.
- Experience designing systems for scale, reliability, and low latency and diagnosing production issues.
- Strong fundamentals in data structures, algorithms, API design, and system design.
- Ability to communicate technical decisions clearly and collaborate with engineering and non-engineering partners.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Preferred qualifications include experience with search, information retrieval, ranking, recommendation, geospatial products, high-QPS consumer systems, distributed architectures, data pipelines, indexes, online serving systems, search relevance, personalization, semantic search, multi-source retrieval, reliability, observability, and mentoring senior engineers.
- A graduate degree in Computer Science or a related technical field is preferred.
Benefits
- Eligibility for Uber's bonus program, potential equity awards, and various benefits.
- Canada-based role with an annual base salary range stated separately.
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.