Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 40 days ago
Market check
Salary context
How this pay compares to similar roles
Similar $189k
$131k
most similar roles pay here
$247k
This listing doesn't post a salary. Most similar roles pay $142,400–$236,187.
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 play a pivotal role in developing and maintaining high-performance mapping technologies that power the company’s global navigation services. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust features using cutting-edge technologies. You will work extensively with Python, C++, and JavaScript while leveraging cloud platforms like AWS and Kubernetes. The Maps team tackles complex challenges such as real-time traffic updates, route optimization, and map data processing at massive scale to enhance user experiences across Uber’s diverse product offerings.
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 operational costs without compromising quality.
- Monitor market trends to identify opportunities for expanding services.
- Implement technology solutions to enhance user experience on the platform.
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.
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