Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 55 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 join a dynamic group focused on developing cutting-edge mapping solutions that power the company’s global operations. Your primary responsibilities include designing and implementing scalable backend systems using microservices architecture, ensuring high performance and reliability for real-time location services. You will work closely with data scientists to integrate advanced analytics into our map products, enhancing user experience through precise geolocation features. Proficiency in Python, Java, or Go is essential, alongside expertise in cloud technologies such as AWS or GCP, and familiarity with Kubernetes for container orchestration. The role demands a deep understanding of large-scale distributed systems and the ability to solve complex technical challenges in a fast-paced environment.
Skills
What you'll do
- Analyze data to optimize ride-sharing algorithms.
- Develop features enhancing user experience on the platform.
- Implement security measures protecting user data privacy.
- Monitor system performance to ensure reliable service delivery.
- Collaborate with cross-functional teams to integrate new technologies.
What we're looking for
- Minimum 5 years of experience in logistics or supply chain management.
- Proven track record in managing large-scale transportation projects.
- Expertise in data analysis and operational efficiency improvements.
- Strong leadership skills with a history of team mentoring and development.
- Excellent communication abilities for cross-functional collaboration.
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