Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 55 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 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 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 for real-time navigation and location services. You will work extensively with modern JavaScript frameworks, Python, and cloud-based tools like AWS and Kubernetes. The role demands expertise in geospatial data processing, machine learning algorithms, and RESTful API design. With a focus on high-performance systems that handle massive datasets, you will contribute to solving complex challenges in route optimization and user experience enhancement for millions of daily users worldwide.
Skills
What you'll do
- Analyze data to optimize ride-sharing algorithms.
- Develop software features enhancing user experience.
- Implement security measures protecting user data.
- Monitor system performance and troubleshoot issues.
- Collaborate on projects with cross-functional teams.
What we're looking for
- Minimum 3 years of experience in software engineering or related field.
- Proficiency in multiple programming languages such as Java, Python, and JavaScript.
- Strong problem-solving skills with a focus on complex system design.
- Experience working with cloud platforms like AWS, Azure, or Google Cloud.
- Excellent communication and collaboration skills for cross-functional teams.
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