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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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 focused on developing cutting-edge mapping solutions that power Uber’s global operations. Your primary responsibilities include designing and implementing scalable backend services using microservices architecture, ensuring high performance and reliability for real-time location data processing. You will work closely with cross-functional teams to integrate advanced geospatial technologies into Uber's products, enhancing user experiences across ride-sharing, delivery, and logistics platforms. Proficiency in Python, Java, or Go is essential, along with experience in cloud services like AWS or GCP, and familiarity with databases such as PostgreSQL or MongoDB. The role demands a deep understanding of distributed systems, data structures, and algorithms to tackle complex challenges at massive scale, impacting millions of users 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 supply chain optimization.
Strong analytical skills with expertise in data-driven decision making.
Excellent leadership abilities, including team management and mentorship.
Experience with technology platforms for tracking and optimizing fleet performance.

Hybrid

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