Page Not Found | Uber

Uber

Quick summary

Work type: On-site
Location: San Francisco, CA
Posted: 36 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 Experience team, you will be responsible for building and maintaining scalable systems that enhance the user experience for millions of riders globally. Your day-to-day tasks include designing and implementing new features, optimizing performance, and ensuring high reliability across our platforms. The role requires expertise in Java or Python, proficiency with cloud services like AWS or GCP, and a strong understanding of microservices architecture. You will work on complex challenges such as real-time data processing and machine learning integrations to improve rider satisfaction and operational efficiency at Uber's massive scale.

Skills

No skills listed

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 enhance on-time delivery performance metrics.
Coordinate with cross-functional teams to integrate new technologies.
Monitor market trends to inform business strategy and growth initiatives.

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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