Senior Staff Engineer (Backend) - Road Safety/Insurance

Uber

Quick summary

Work type
On-site
Location
San Francisco, CA · Sunnyvale, CA
Salary
$267,000–$267,000 / yr
Posted
15 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $267k
$131k most similar roles pay here $282k

This role pays more than 95% of similar roles. Most pay $165,000–$222,000 — the shaded band above. At the midpoint, this role pays about $267k versus about $194k 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 95 open roles on FindRole.

Listed pay typically runs $232,000–$232,000 across 76 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Senior Staff Engineer (Backend) - Road Safety/Insurance

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As a Senior Staff Backend Engineer at Uber’s Road Safety and Insurance Engineering teams, you will provide technical leadership by leading complex, multi-team initiatives that span real-time data ingestion, signal processing, and machine learning-powered risk assessment. You will design and evolve backend systems to ingest and process high-volume sensor and telematics data, collaborate with machine learning and data science teams to productionize models for crash detection, and drive architectural decisions for low-latency streaming pipelines and distributed services. With a focus on scalability, reliability, and data quality, you will set engineering best practices and mentor senior engineers while representing the organization in company-wide technical discussions. This role requires expertise in designing large-scale distributed systems, experience with telematics and sensor data, and hands-on knowledge of real-time data pipelines and machine learning systems in production.

Skills

Python Kafka Docker PostgreSQL AWS CI/CD Kubernetes Terraform Prometheus Grafana REST gRPC GraphQL Redis Cassandra Hadoop Spark Scalability Reliability

What you'll do

  • Lead large, cross-team technical initiatives from early design through production rollout.
  • Design backend systems to ingest, process, and analyze high-volume sensor and telematics data.
  • Partner with machine learning and data science teams to productionize models for crash detection.
  • Drive architectural decisions for low-latency streaming pipelines and distributed services.
  • Anticipate and address scalability, reliability, and data quality challenges proactively.
  • Set and role-model engineering best practices around system design and code quality.

What we're looking for

  • Proven experience designing and building large-scale distributed systems serving millions of users.
  • Demonstrated ability to lead complex projects across multiple teams or organizations.
  • Significant backend engineering depth with 10+ years of professional software engineering experience.
  • Hands-on experience with telematics, sensor data, time-series data, or signal processing systems.
  • Experience working with streaming and real-time data pipelines, including Kafka-like systems.
  • Strong background in scalability engineering, data consistency, and system observability.

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