Page Not Found | Uber

Uber

Quick summary

Work type: On-site
Location: San Francisco, CA
Posted: 51 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 work on developing and enhancing the company’s mapping technologies that power navigation and location services. Your day-to-day responsibilities include designing scalable solutions, collaborating with cross-functional teams, and implementing robust features using modern web technologies. The role requires expertise in JavaScript, TypeScript, React, and Redux, alongside a strong understanding of RESTful APIs and microservices architecture. You will contribute to building high-performance mapping applications that support Uber’s global operations, addressing challenges such as real-time data processing and large-scale deployment across diverse geographic regions.

Skills

No skills listed

What you'll do

Manage and optimize delivery routes using advanced logistics software.
Analyze data to improve driver retention and satisfaction rates.
Develop strategies to reduce delivery times and increase efficiency.
Monitor market trends to identify opportunities for service expansion.
Coordinate with cross-functional teams to enhance user experience.

What we're looking for

Minimum 5 years of experience in software engineering or related field.
Proven track record of developing scalable and high-performance applications.
Expertise in multiple programming languages such as Java, Python, or Go.
Strong understanding of cloud technologies like AWS, Azure, or Google Cloud.
Excellent problem-solving skills with a focus on complex technical challenges.

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