Staff Software Engineer

Uber

Quick summary

Work type: On-site
Location: Seattle, WASunnyvale, CA
Posted: 40 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $181k

$125k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $144,462–$218,150.

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 45 open roles on FindRole.

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At a glance

TL;DR · Staff Software Engineer

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As a Staff Software Engineer in Uber’s Security team, you will lead the development of robust, scalable systems and data pipelines that enhance security by applying machine learning techniques to real-world problems. Your day-to-day responsibilities include building ML-powered security systems, developing backend infrastructure and ETL pipelines for reliable data processing, and productionizing ML models for security use cases while maintaining high engineering standards through code reviews and testing. You will collaborate closely with cross-functional teams to embed security-by-design principles across Uber’s technology stack. The ideal candidate has 7+ years of industry experience in software development, proficiency in Golang, SQL, or Python, hands-on experience with distributed systems and machine learning, and a background in security detection engineering or threat emulation. Experience with streaming data processing frameworks like Flink and deep learning approaches to security signals is also beneficial.

Skills

Python Golang SQL Kubernetes Docker Terraform AWS CI/CD Prometheus Grafana PostgreSQL Redis Flask FastAPI GraphQL RESTful_APIs OAuth2 JWT OpenID_Connect Git Jenkins Ansible Zap OWASP_Top_10 Django Celery RabbitMQ Kafka Elasticsearch Logstash Kibana Splunk MLflow TensorFlow PyTorch Scikit-learn Pandas NumPy Jupyter_Notebook

What you'll do

Design and build ML-powered security systems focusing on detection, classification, and risk scoring.
Develop backend infrastructure and ETL pipelines to support security analytics and machine learning workflows.
Productionize ML models in security use cases, ensuring performance, scalability, monitoring, and quality.
Conduct code reviews and testing to maintain high engineering standards for security projects.
Collaborate with network operations, incident response teams to embed security-by-design across Uber’s tech stack.

What we're looking for

7+ years of industry experience in software development.
Proficiency in Golang, SQL, and Python.
Hands-on experience building and operating distributed systems.
Expertise in machine learning and feature engineering.
Experience leading projects with global cross-functional teams.
Mentoring and guiding junior engineers.

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