Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 64 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 join a dynamic group focused on developing cutting-edge mapping solutions that power the company’s global operations. Your primary responsibilities include designing and implementing scalable backend services using microservices architecture, ensuring high performance and reliability for real-time location data processing. You will work closely with cross-functional teams to integrate advanced geospatial technologies into Uber's core products, enhancing user experience and operational efficiency. Proficiency in Python or Go, along with expertise in distributed systems, databases, and cloud platforms like AWS or GCP is essential. Experience with spatial indexing, vector tile formats, and RESTful APIs will be highly beneficial as you tackle complex challenges in a fast-paced environment that demands innovation and collaboration.
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.
- Ensure compliance with global transportation regulations.
- Implement security measures to protect user information.
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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