Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 25 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 transportation network. Your day-to-day responsibilities include designing and implementing scalable backend services using microservices architecture, ensuring high performance and reliability for real-time location data processing. You will work closely with cross-functional teams to integrate advanced geospatial technologies and machine learning models into Uber's map infrastructure. Proficiency in Python, Java, or Go is essential, along with experience in cloud platforms like AWS or GCP. Knowledge of spatial databases such as PostGIS and familiarity with RESTful APIs are highly valued. This 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 software features enhancing user experience.
- Implement security measures protecting user data.
- Monitor system performance and troubleshoot issues.
- Collaborate with cross-functional teams on projects.
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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