Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- San Francisco, CA
- Posted
- 41 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $155,000–$207,350.
Based on 239 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 289 open roles on FindRole.
Listed pay typically runs $209,000–$209,000 across 76 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 play a pivotal role in enhancing the user interface and backend systems that power millions of daily rides. Your day-to-day responsibilities include designing scalable solutions, implementing new features, and collaborating with cross-functional teams to improve performance and reliability. You will work extensively with React for frontend development and Node.js for backend services, leveraging AWS and Docker for deployment and scaling. The role requires expertise in JavaScript/TypeScript, RESTful APIs, and microservices architecture. With a focus on real-time data processing and user engagement, you'll contribute to solving complex challenges that impact global transportation infrastructure.
Skills
What you'll do
- Analyze user data to improve app functionality.
- Develop algorithms to optimize ride-sharing routes efficiently.
- Implement machine learning models to predict demand spikes.
- Enhance payment systems security and transaction speed continuously.
- Collaborate with designers to integrate new features seamlessly.
What we're looking for
- Minimum 5 years of experience in logistics or transportation industry.
- Proven track record in managing large-scale operations and projects.
- Strong analytical skills with ability to interpret complex data sets.
- Excellent leadership and communication skills for team management.
- Experience with supply chain software and technology integration.
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