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Transportation, Logistics, Food Delivery, Technology

Staff Security Engineer - Engineer

Seattle, WAOnsiteFull TimeStaff$232,000–$258,000 /yrPosted 13 days agoVisa sponsorship available

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Required skills

  • bot detection
  • DDoS protection
  • network security
  • edge security
  • automated threats
  • volumetric attacks
  • Go
  • Java
  • AWS
  • GCP

Nice to have

  • cybersecurity
  • bot challenge techniques
  • edge threat mitigation
  • AI/ML models
  • real-time streaming frameworks
  • multi-team software initiatives

Role summary

Uber is seeking a Staff Security Engineer for their Network Security team to focus on bot defense and DDoS mitigation at a global scale. This role involves architecting, building, and scaling edge security infrastructure, driving technical strategy for AI/ML-driven threat defense, and integrating third-party vendor solutions. The engineer will also build data pipelines, establish engineering standards, mentor junior engineers, and collaborate with cross-functional teams to measure defense efficacy. Requires 8+ years of backend software development experience, proficiency in Go or Java, and experience with distributed systems and cloud technologies.

Staff Security Engineer - Network Security (Bot Defense & DDoS)

About The Role

The security organization at Uber is dedicated to enabling safe and secure innovation while protecting the communities we serve both online and in the physical world. Our teams are responsible for protecting both people and their data across intersections of the digital and physical world. The primary objective for the Uber Engineering Security team is to enable the technical ambitions of the company while maintaining the highest standards of security and privacy for our customers and partners. As cybersecurity threats evolve, so do we.

We are seeking a Staff Security Engineer to join our Network Security team. In this role, you will define and build systems that improve bot detection and mitigation, and DDoS protection at a global scale. You will architect, build, and scale Uber’s next-generation edge security infrastructure to safeguard our systems from volumetric attacks and evolving automated threats. As an L5b Staff Engineer, you will set technical roadmaps, drive cross-functional alignment across teams, evaluate and partner with key external vendor platforms, and serve as an empathetic technical mentor.

What The Candidate Will Do

  • Architect, implement, and scale high-performance, distributed backend systems for real-time bot detection and mitigation, and volumetric DDoS defense.
  • Drive technical strategy for AI/ML-driven threat defense, integrating ML inference pipelines and real-time streaming frameworks into network edge production environments.
  • Evaluate, integrate, and partner with third-party vendor platforms to enhance threat detection coverage and deploy challenge capabilities.
  • Build end-to-end data pipelines and low-latency feature stores supporting both real-time network enforcement and batch threat intelligence.
  • Establish engineering standards, conduct system architecture reviews, and technically mentor junior engineers within the Network Security team.
  • Collaborate with cross-functional engineering teams to define security KPIs, design large-scale experimentation frameworks, and continuously measure defense efficacy.

Basic Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • 8+ years of experience in backend software development or platform engineering.
  • Proficiency in at least one production programming language: Go, Java
  • Strong experience in backend software architecture design and distributed systems.
  • Experience with cloud technologies (e.g., AWS, GCP, OCI) and containerization (e.g., Docker, Kubernetes).

Preferred Qualifications

  • Direct experience in network security, cybersecurity, bot detection, or DDoS mitigation at scale.
  • Experience evaluating, integrating, and managing third-party vendor solutions for bot challenge techniques and edge threat mitigation.
  • Hands-on experience incorporating AI/ML models into production systems and working with real-time streaming frameworks (e.g., Apache Flink, Kafka).
  • Proven track record of leading complex, multi-team software initiatives from inception to delivery.

For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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