Page Not Found | Uber

Uber

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On-site
Location
Posted
55 days ago

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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.

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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 robust backend systems using microservices architecture, ensuring seamless integration with front-end applications. You will work closely with data scientists to enhance route prediction algorithms, improving efficiency for millions of daily rides worldwide. Proficiency in Python, Java, or Go is essential, along with experience in cloud platforms like AWS or GCP. Knowledge of geospatial technologies and databases such as PostgreSQL/PostGIS is highly desirable. This role demands a deep understanding of scalable systems and the ability to solve complex technical challenges in real-time data processing environments.

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 software engineering or related field.
  • Proficiency in multiple programming languages such as Java, Python, and JavaScript.
  • Strong background in building scalable and high-performance systems.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud.
  • Excellent problem-solving skills and ability to work under pressure.

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