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 Platform team, you will work on developing and maintaining cutting-edge mapping technologies that power Uber’s global operations. Your day-to-day responsibilities include designing scalable solutions, implementing new features, and collaborating with cross-functional teams to enhance the accuracy and reliability of our maps. You will leverage Python, C++, and JavaScript, along with tools like Docker and Kubernetes, to build robust systems that address complex geospatial challenges at scale. This role requires expertise in software architecture, data structures, algorithms, and a deep understanding of web technologies. As part of this high-impact team, you will contribute to solving real-world problems that affect millions of users worldwide.
Skills
What you'll do
- Manage and optimize delivery routes using advanced logistics software.
- Analyze rider and driver data to improve service efficiency and reliability.
- Develop strategies to reduce wait times and enhance user experience.
- Monitor market trends to inform pricing models and promotional activities.
- Implement security measures to protect user data and prevent fraud.
What we're looking for
- Minimum 5 years of experience in logistics or transportation industry.
- Proven track record in managing large-scale projects and teams.
- Strong analytical skills with ability to interpret complex data sets.
- Excellent communication and negotiation skills with stakeholders.
- Experience in supply chain management and optimization techniques.
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