Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 44 days ago
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,150–$207,350.
Based on 240 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 362 open roles on FindRole.
Listed pay typically runs $209,000–$209,000 across 50 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 work on developing and enhancing the geospatial infrastructure that powers Uber’s global operations. Your day-to-day responsibilities include designing scalable solutions, implementing robust algorithms, and collaborating with cross-functional teams to integrate advanced mapping features into our products. You will leverage technologies such as Python, C++, and JavaScript, alongside tools like Docker and Kubernetes for containerization and orchestration. The role requires expertise in geospatial data processing, machine learning, and cloud services. With a focus on improving user experience across Uber’s ride-sharing, delivery, and freight solutions, you will tackle complex challenges at massive scale to ensure seamless navigation and efficient logistics worldwide.
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 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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