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Staff Software Engineer - Engineer

Uber Technologies, Inc.
Toronto, CAN
Full-time
Senior · 8+ years experience
Onsite
Discovered 6 days ago
javapython

Full Job Posting

Basic Qualifications

  • 8+ years of professional software engineering experience building and operating backend services or distributed systems.
  • Strong programming skills in at least one backend language, such as Java, Go, C++, or Python.
  • Demonstrated technical leadership on complex, cross-team projects, including setting architecture and driving delivery from conception to production.
  • Experience designing systems for scale, reliability, and low latency, and diagnosing issues in production environments.
  • Strong fundamentals in data structures, algorithms, API design, and system design.
  • Ability to communicate technical decisions clearly and work effectively with engineering and non-engineering partners.
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

  • Experience building search, information retrieval, ranking, recommendation, or geospatial products.
  • Experience with high-QPS, latency-sensitive consumer-facing systems and distributed service architectures.
  • Experience building data pipelines, indexes, or online serving systems for machine-learning-powered products.
  • Familiarity with search relevance, query understanding, personalization, semantic search, or multi-source retrieval.
  • Experience improving production reliability, observability, and operational practices for critical services.
  • A track record of influencing technical direction across teams and mentoring senior engineers.
  • Graduate degree in Computer Science or a related technical field.

Responsibilities

  • For Canada-based roles: The base salary range for this role is CAD $197,000 per year - CAD $219,000 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.
  • 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.

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