Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 53 days ago
Market check
Salary context
How this pay compares to similar roles
Similar $180k
$106k
most similar roles pay here
$248k
This listing doesn't post a salary. Most similar roles pay $152,150–$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 405 open roles on FindRole.
Listed pay typically runs $202,000–$202,000 across 55 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 play a pivotal role in developing and maintaining high-performance mapping solutions that power the company’s global navigation services. Your day-to-day responsibilities include designing scalable systems, implementing robust algorithms for map data processing, and collaborating with cross-functional teams to integrate real-time location data into Uber’s platforms. You will work extensively with technologies such as Python, C++, and JavaScript, leveraging cloud-based tools like AWS and Kubernetes. The role demands expertise in geospatial analysis, machine learning, and distributed systems, as well as a deep understanding of the challenges involved in handling large-scale geographic datasets.
Skills
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.
- Implement security measures to protect user information.
- Monitor system performance and troubleshoot issues promptly.
What we're looking for
- Minimum 5 years of experience in software engineering or related field.
- Proficiency in multiple programming languages such as Java, Python, and JavaScript.
- Strong background in building scalable and high-performance applications.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and ability to work under pressure.
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