Page Not Found | Uber

Uber

Quick summary

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

Market check

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 work on developing and maintaining high-scale geospatial services that power navigation and location-based features across the company’s platforms. Your day-to-day responsibilities include designing robust systems, implementing new features, and collaborating with cross-functional teams to enhance user experiences globally. The role requires expertise in Python, Java, or C++, along with experience in cloud technologies such as AWS or GCP, and proficiency in distributed systems and databases like PostgreSQL or Cassandra. You will tackle complex challenges related to real-time data processing, large-scale infrastructure, and ensuring reliability and performance for millions of users worldwide.

What you'll do

  • Manage and optimize delivery routes using advanced logistics software.
  • Analyze data to improve driver-partner satisfaction and retention rates.
  • Develop strategies to reduce operational costs without compromising service quality.
  • Monitor real-time traffic conditions to adjust schedules dynamically for efficiency.
  • Implement new technologies to enhance the user experience on the Uber platform.

What we're looking for

  • Minimum 5 years of experience in logistics or transportation industry.
  • Proven track record in managing large-scale operations and teams.
  • Strong analytical skills with ability to optimize processes and reduce costs.
  • Experience with data analytics tools and software for performance tracking.
  • Excellent communication and negotiation skills for stakeholder engagement.

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