Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- San Francisco, CA
- Posted
- 55 days ago
- Nearby
- 99+ roles within 25 mi
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 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 reliability and performance. You'll work extensively with React for frontend development and Node.js on the backend, leveraging AWS services and Kubernetes for deployment. The role demands expertise in JavaScript/TypeScript, RESTful APIs, and microservices architecture. With a focus on user-centric design and robust engineering practices, you will contribute to solving complex challenges that impact global transportation networks at unprecedented scale.
Skills
What you'll do
- Manage and optimize delivery routes using advanced logistics software.
- Analyze data to improve driver retention and satisfaction rates.
- Develop strategies to reduce delivery times and increase efficiency.
- Coordinate with cross-functional teams to enhance user experience.
- Implement new technologies to support real-time tracking and communication.
What we're looking for
- Minimum 5 years of experience in logistics or transportation industry.
- Proven track record in managing large-scale operations and teams.
- Strong analytical skills with ability to interpret complex data sets.
- Excellent communication and negotiation skills with stakeholders.
- Experience in implementing technology solutions for operational efficiency.
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