Page Not Found | Uber

Uber

Quick summary

Work type: On-site
Location: San Francisco, CA
Posted: 51 days ago
Nearby: 99+ roles within 25 mi

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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 238 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

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Senior Software Engineer at Uber's Rider Platform team, you will play a pivotal role in enhancing the user experience for millions of riders globally. Your primary responsibilities include designing and implementing scalable backend services that support real-time ride-matching algorithms, ensuring seamless integration with mobile apps, and optimizing performance to handle high traffic volumes. You will work closely with cross-functional teams to build innovative features that address complex business challenges such as surge pricing and dynamic demand forecasting. Proficiency in Java or Python is essential, along with experience in distributed systems, microservices architecture, and cloud technologies like AWS or GCP. Knowledge of machine learning frameworks for predictive analytics would be a significant plus.

Skills

No skills listed

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.
Implement security measures to protect user information.
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 operations and teams.
Strong analytical skills with expertise in data-driven decision making.
Excellent communication and negotiation abilities with stakeholders.
Experience in implementing technology solutions for operational efficiency.

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