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 features using modern software engineering practices. You will work extensively with Python, JavaScript, and C++, leveraging cloud services like AWS and Kubernetes to ensure high performance and reliability. This role demands expertise in geospatial data processing, machine learning algorithms, and real-time systems. As Uber continues to expand globally, your contributions will directly impact the accuracy and efficiency of location-based services for 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 software engineering or related field.
Proven track record of developing scalable and high-performance applications.
Expertise in multiple programming languages such as Java, Python, or Go.
Strong understanding of cloud technologies like AWS, Azure, or Google Cloud.
Excellent problem-solving skills with a focus on complex technical challenges.

Hybrid

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