Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
56 days ago
Nearby
99+ roles within 25 mi

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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

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Senior Software Engineer at Uber's Maps team, you will play a pivotal role in developing and maintaining cutting-edge mapping technologies that power Uber’s global operations. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust software features using modern web frameworks and cloud services. Proficiency in JavaScript, Python, or Go is essential, along with experience in React, Redux, and Kubernetes. You should also have a strong understanding of RESTful APIs and microservices architecture. This role involves tackling complex challenges such as real-time data processing and large-scale system integration to enhance the accuracy and reliability of Uber’s mapping services worldwide.

Skills

No skills listed

What you'll do

  • Analyze user data to improve app functionality.
  • Develop algorithms to enhance ride-matching efficiency.
  • Implement security measures to protect user information.
  • Optimize payment systems for faster transaction processing.
  • 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 operations and projects.
  • 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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