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 join a dynamic group focused on developing cutting-edge mapping solutions that power the company’s global operations. Your primary responsibilities include designing and implementing robust backend services using microservices architecture, ensuring seamless integration with front-end applications. You will work closely with data scientists to enhance geospatial analytics and contribute to large-scale infrastructure projects that support Uber's expansive network of drivers and riders worldwide. Proficiency in Python, Java, or Go is essential, along with experience in cloud technologies like AWS or GCP. Strong knowledge of distributed systems, databases, and RESTful APIs will be crucial as you tackle complex challenges related to real-time data processing and scalability.

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.
  • Ensure compliance with global transportation regulations.
  • Implement security measures to protect user information.

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 supply chain management and optimization techniques.

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