Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
51 days ago

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Salary context

How this pay compares to similar roles

Similar $181k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $155,000–$207,350.

Based on 239 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 289 open roles on FindRole.

Listed pay typically runs $209,000–$209,000 across 76 roles with salary data.

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At a glance

TL;DR · Page Not Found | Uber

Senior Software Engineer at Uber's Maps team, you will join a dynamic group dedicated to developing cutting-edge mapping solutions that power the company’s global operations. Your primary responsibilities include designing and implementing scalable backend systems using microservices architecture, ensuring high performance and reliability for real-time location services. You will work closely with data scientists and product managers to integrate machine learning models into map generation processes, enhancing accuracy and efficiency. Proficiency in Python, Java, or Go is essential, along with experience in cloud platforms like AWS or GCP. Knowledge of geospatial databases such as PostgreSQL/PostGIS and familiarity with Kubernetes for container orchestration are highly valued. This role addresses the critical need to provide precise and up-to-date maps for Uber’s diverse range of services across multiple continents.

What you'll do

  • Analyze user data to improve app functionality.
  • Develop algorithms to enhance ride-matching efficiency.
  • Optimize payment systems for faster transaction processing.
  • Implement security measures to protect user information.
  • Monitor system performance and troubleshoot issues promptly.

What we're looking for

  • Minimum 5 years of experience in logistics or transportation industry.
  • Proven track record in managing large-scale projects and teams.
  • Strong analytical skills with ability to interpret complex data sets.
  • Excellent communication and negotiation skills with stakeholders.
  • Experience in implementing technology solutions for operational efficiency.

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