Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
56 days ago

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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 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 Core Infrastructure team, this role involves designing and implementing scalable systems that power Uber’s global operations. You will work on building robust backend services using microservices architecture, focusing on performance optimization and reliability. Key responsibilities include developing new features, maintaining existing codebases, and collaborating with cross-functional teams to solve complex technical challenges. The ideal candidate has expertise in Java or Python, along with experience in cloud platforms like AWS or GCP. Knowledge of containerization tools such as Docker and Kubernetes is essential. This position requires a deep understanding of distributed systems, databases, and API design principles. As part of the Core Infrastructure team, you will contribute to Uber’s mission-critical services that handle massive data volumes and high traffic demands globally.

What you'll do

  • Analyze user data to improve app functionality.
  • Develop algorithms to enhance ride-matching efficiency.
  • Implement security measures to protect user information.
  • Optimize payment systems for faster transaction processing.
  • Monitor system performance and troubleshoot issues promptly.

What we're looking for

  • Minimum 5 years of experience in logistics or transportation industry.
  • Proven track record in managing large-scale operations and teams.
  • Strong analytical skills with experience in data-driven decision making.
  • Excellent communication and negotiation skills with stakeholders.
  • Experience in implementing technology solutions to improve efficiency.

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