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 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 robust backend services using microservices architecture, ensuring seamless integration with front-end applications. You will work closely with data scientists and product managers to enhance map accuracy and reliability, addressing complex challenges such as real-time traffic updates and route optimization at scale. Proficiency in Java or Go is essential, along with experience in Kubernetes, Docker, and cloud platforms like AWS or GCP. A deep understanding of distributed systems, databases, and RESTful APIs will be crucial for success in this role.

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 supply chain optimization.
  • Strong analytical skills with expertise in data analysis and reporting tools.
  • Excellent leadership abilities, including team management and employee development.
  • Experience in implementing technology solutions to improve operational efficiency.

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