Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 58 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 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 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 Maps team, you will join a dynamic group dedicated to developing cutting-edge mapping solutions. Your primary responsibilities include designing and implementing robust backend services that power location-based features across Uber’s platforms. Day-to-day tasks involve collaborating with cross-functional teams to enhance map accuracy, optimize routing algorithms, and integrate real-time data feeds. Proficiency in Python, Java, or C++ is essential, along with experience in distributed systems, databases, and cloud technologies like AWS or GCP. Familiarity with geospatial data processing and machine learning techniques will be highly beneficial as you tackle complex challenges related to large-scale data handling and real-time analytics.
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 implement scalability solutions.
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 developing and implementing operational strategies.
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