Senior Software Engineer - Data Storage

Uber

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $202,000–$202,000 / yr
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $202k

$129k most similar roles pay here $228k

This role pays more than 70% of similar roles. Most pay $140,725–$218,543 — the shaded band above. At the midpoint, this role pays about $202k versus about $180k for comparable roles.

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 289 open roles on FindRole.

Listed pay typically runs $209,000–$209,000 across 76 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Senior Software Engineer - Data Storage

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As a Senior Software Engineer on Uber’s Data Storage team, you will work within one of the largest data stacks in the industry, managing over 1 Exabyte of data across batch analytics, streaming processing, and AI/ML workloads. Your responsibilities include deep diving into big data infrastructure to improve performance and reliability, innovating cloud usage for better efficiency, and leveraging Uber’s Agents platform to enhance customer service. You will collaborate with team members to solve complex technical challenges, evaluate various solutions, and make informed decisions. Ideal candidates have a strong background in distributed systems or machine learning, experience with languages like Python, Rust, Go, and Java, and familiarity with AI/ML frameworks such as Pytorch and Ray, as well as cloud object stores like S3 and GCS.

Skills

Python Rust Go Java Pytorch Ray Iceberg Lance Gravitino Polaris S3 GCS Azure OCI Docker Kubernetes CI/CD PostgreSQL AWS Google Cloud Azure Cloud

What you'll do

Deep dive into big data infrastructure to understand and optimize source code and configurations for performance and reliability.
Innovate cloud usage strategies to balance performance and efficiency in data storage solutions.
Build and leverage Uber’s Agents platform to enhance customer service through advanced data processing.
Independently solve complex technical problems or collaborate with team members on intricate challenges.
Evaluate various technological options, considering pros and cons to make informed decisions for system improvements.

What we're looking for

5+ years of industry engineering experience in software development
Strong skills in reading open source code and performance tuning
Expertise in distributed systems or machine learning systems
Proficiency in Python, Rust, Go, and Java programming languages
Experience with AI/ML frameworks like Pytorch, Ray, Iceberg, Lance, Gravitino, Polaris
Development experience with Cloud Object Stores such as S3/GCS/Azure/OCI
Track record of supporting business-critical systems with high availability

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