Page Not Found | Uber

Uber

Quick summary

Work type: On-site
Location: San Francisco, CA
Posted: 40 days ago
Nearby: 99+ roles within 25 mi

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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 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

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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 machine learning models into map generation processes, enhancing accuracy and efficiency. The ideal candidate possesses expertise in Python, Java, or Go, along with experience in cloud platforms like AWS or GCP. Knowledge of spatial databases such as PostgreSQL/PostGIS is highly desirable. This role involves tackling complex challenges at massive scale, impacting millions of users worldwide through innovative mapping technologies.

Skills

No skills listed

What you'll do

Analyze data to optimize ride-sharing algorithms.
Develop software features enhancing user experience.
Implement security measures protecting user privacy.
Monitor system performance to ensure reliability.
Collaborate on projects with cross-functional teams globally.

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.

Hybrid

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