Staff Security Engineer

Uber

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $184k
$125k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $151,475–$216,000.

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 25 open roles on FindRole.

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At a glance

TL;DR · Staff Security Engineer

Staff Security Engineer - Engineer As a Staff Security Engineer, you will join the engineering team to safeguard user-facing products by leveraging AI and ML to identify evolving threats. You will architect and scale sophisticated security services and frameworks while navigating complex, hybrid-cloud environments. Your daily responsibilities include performing in-depth threat analysis, conducting root cause investigations, and writing high-quality, modular code to automate detection logic. You will also establish standards for query optimization and technical documentation while collaborating across teams like Network Ops and Incident Response. To succeed, you must be proficient in Python, Go, or Ruby, and possess expertise in designing detection systems using log, network, and endpoint telemetry. The role focuses on the core challenge of transitioning research into production to enhance cyber defense capabilities against shifting adversary behaviors within a global ecosystem.

What does a Security Engineer earn in California?

Median $209900 from 30 postings across 15 companies.

See salary data

What you'll do

  • Architect and scale sophisticated security services to neutralize evolving threats across the global ecosystem.
  • Perform in-depth threat analysis and root cause analysis during high-stakes incident investigations in hybrid-cloud environments.
  • Write modular code in Python, Go, or Ruby to automate detection logic and scale response capabilities.
  • Experiment with AI/ML techniques to enhance cyber defense capabilities and transition research into production.
  • Establish engineering standards for detection rules, query optimization, and technical documentation.
  • Design and tune detection systems across log, network, and endpoint telemetry to improve signal fidelity.
  • Manage high-level escalations during incidents while identifying and adopting best practices for response teams.
  • Make complex engineering and risk tradeoffs regarding security, privacy, and development velocity.

What we're looking for

  • Bachelor’s degree in Computer Science, Cybersecurity, or a related technical field.
  • 8+ years of professional experience in security engineering, threat detection, or client platform engineering.
  • Expertise in designing and tuning detection systems across log, network, and endpoint telemetry.
  • Experience leading cross-functional security and privacy projects from inception through global operations.
  • Ability to manage high-level incident response escalations and perform deep root cause analysis.
  • Proficiency in writing modular code for automation using Python, Go, or Ruby.
  • Proven track record of technical writing including ERDs, developer documentation, and post-mortems.
  • Master’s degree or PhD and 10+ years of experience in a cybersecurity leadership role (preferred).
  • Advanced expertise in leveraging AI/ML for security use cases and building device attestation tools (preferred).

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