Page Not Found | Uber

Uber

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Work type: On-site
Location: —
Posted: 2 days ago

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How this pay compares to similar roles

Similar $180k

$120k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $152,150–$208,800.

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 95 open roles on FindRole.

Listed pay typically runs $232,000–$232,000 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 high-performance mapping solutions that power the company’s global operations. Your day-to-day responsibilities include designing scalable systems, implementing robust algorithms, and collaborating with cross-functional teams to enhance user experience through precise location data. You will work extensively with technologies such as Python, C++, and JavaScript, leveraging cloud services like AWS and Kubernetes for deployment and management. The role demands expertise in geospatial analysis, machine learning, and real-time data processing. As part of a fast-paced environment focused on innovation, you will tackle complex challenges related to large-scale data handling and optimization, contributing significantly to Uber’s mission-critical infrastructure.

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.

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