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 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 Maps team, you will play a pivotal role in developing cutting-edge mapping solutions that power the company’s global operations. Your day-to-day responsibilities include designing and implementing robust backend services using microservices architecture, ensuring seamless integration with front-end applications. You will work closely with data scientists to enhance map accuracy through advanced algorithms and machine learning techniques. Proficiency in Python, Java, or C++ is essential, along with experience in cloud platforms like AWS or GCP. Knowledge of geospatial technologies such as PostGIS and familiarity with NoSQL databases are highly valued. This role demands a deep understanding of large-scale system design and the ability to tackle complex technical challenges in a fast-paced environment.
Skills
What you'll do
- Manage and optimize delivery routes using advanced logistics software.
- Analyze rider data to improve pickup accuracy and reduce wait times.
- Develop strategies to enhance driver-partner engagement and retention.
- Monitor real-time traffic conditions to adjust dispatch algorithms dynamically.
- Implement security measures to protect user data and prevent fraud.
What we're looking for
- Minimum 5 years of experience in logistics or transportation industry.
- Proven track record in managing large-scale operations and supply chain optimization.
- Strong analytical skills with expertise in data-driven decision making.
- Excellent leadership abilities, including team management and mentorship.
- Experience with technology platforms for tracking and optimizing fleet performance.
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