Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 56 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 Rider Experience team, you will work on enhancing the platform that connects millions of riders with drivers worldwide. Your primary responsibilities include developing scalable and efficient backend services using microservices architecture, ensuring seamless integration between various components of the rider experience ecosystem. You will collaborate closely with cross-functional teams to implement new features, optimize performance, and improve reliability. Proficiency in Java or Python is essential, along with expertise in distributed systems, RESTful APIs, and cloud technologies such as AWS or GCP. Understanding of machine learning principles for personalization and predictive analytics would be a significant plus. This role offers the opportunity to tackle complex challenges at massive scale within a dynamic tech environment.
Skills
What you'll do
- Analyze user data to improve app functionality.
- Develop algorithms to enhance ride-matching efficiency.
- Implement security measures to protect user information.
- Optimize payment systems for faster transaction processing.
- 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 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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