Page Not Found | Uber
Quick summary
- Work type
- On-site
- Location
- San Francisco, CA
- Posted
- 22 days ago
- Nearby
- 99+ roles within 25 mi
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Salary context
How this pay compares to similar roles
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
Senior Software Engineer at Uber's Maps team, you will join a dynamic group dedicated to developing cutting-edge mapping solutions that power the company’s global operations. Your primary 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 and product managers to enhance map accuracy and user experience across Uber's expansive platform. Key technologies include Python, Go, and JavaScript for service development, alongside Kubernetes and Docker for container orchestration. The role demands expertise in cloud services like AWS or GCP, as well as a deep understanding of geospatial data processing and machine learning algorithms. This position offers the opportunity to tackle complex challenges at scale, impacting millions of users worldwide.
Skills
What you'll do
- Analyze user data to enhance product features.
- Develop algorithms to optimize ride-sharing routes efficiently.
- Implement machine learning models to predict demand surges.
- Ensure compliance with local regulations in all operational regions.
- Monitor system performance to prevent service disruptions and outages.
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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