Live opening · Posted 2 days ago

Staff Software Engineer - Engineer

Uber · Toronto, ON, Canada
Oracle
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyUber
LocationToronto, ON, Canada
SourceOracle
ListedPosted 2 days ago

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About the role

Description supplied by the original job listing.

About the role and team
Uber Maps Search helps people find the places and destinations they need across Uber experiences. The multi-disciplinary team builds the backend systems, deep learning models & user experience components behind location search - from understanding a query and retrieving relevant places to serving useful results with the speed and reliability people expect. Because location search is the 1-step of any Go-Get experience at Uber, the team's contributions meaningfully influence Uber’s business performance, and the team’s work is highly visible to the executive leadership team.
As a Staff Software Engineer, you’ll set technical direction for important, multi-quarter initiatives and help evolve the services and data foundations that power search. You’ll partner closely with machine learning, science, mobile, and other engineering teams to turn customer and business needs into scalable systems. This is a hands-on technical leadership role: you’ll shape architecture, guide delivery across teams, and raise the quality and reliability of the platform.
What you’ll do
Lead the architecture and end-to-end delivery of high-impact Maps Search projects, from problem definition and technical strategy through launch and ongoing operation.
Design, build, and evolve scalable backend services for location search, including query handling, autocomplete, retrieval, result aggregation, and recommendation-serving workflows.
Improve the latency, availability, relevance, and operational health of high-throughput search systems, using data and production signals to identify and address bottlenecks.
Build and maintain dependable data pipelines and serving infrastructure that bring search and machine-learning capabilities into production.
Make thoughtful system-level tradeoffs across service boundaries, data freshness, quality, cost, and reliability; communicate decisions and establish durable technical direction.
Partner with product, machine learning, science, mobile, and infrastructure teams to define goals, align dependencies, and deliver cohesive customer experiences.
Raise the technical bar through design and code reviews, practical engineering standards, and hands-on mentorship of engineers across the organization.
Strengthen operational excellence through observability, incident follow-up, capacity planning, and improvements to on-call health.
Basic Qualifications
8+ years of professional software engineering experience building and operating backend services or distributed systems.

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