Staff Software engineer - Authentication and Security Observability

About the Role

The Login Services team sits within Core Security Engineering and owns Ubers authentication platform for both human and non-human identities. We build the systems that make login seamless, secure, and resilient for Ubers global workforce and services-so people and workloads can confidently access internal and third-party applications using strong authentication with minimal operational cost.

This Staff Engineer role is a technical leadership position shaping the future of authentication at Uber-especially as agentic workflows and non-human identities become first-class citizens. Youll drive architecture and execution across major initiatives like building a security knowledge platform that computes risk levels for identities and assets, human NHI, and evolving next-generation authentication capabilities, e.g., stronger factors and policy enforcement across critical systems. If youre excited about building foundational security platforms at massive scale-where reliability, security posture, and automation directly move the business-this is a rare chance to lead in a space thats getting more important every quarter.

What the Candidate Will Do

• Lead architecture and execution of core authentication capabilities for human and non-human identities, delivering secure, resilient, and frictionless login experiences at Uber scale. • Own and evolve Ubers tier-zero authentication and SSO infrastructure, maintaining high availability, security, and performance for core login flows and enabling secure policy-driven access to internal and third-party applications. • Build and evolve platform services, APIs, workflows, policy enforcement with strong engineering fundamentals, reliability, performance, observability, and safe rollout/rollback. • Develop the Security Knowledge Platform, building the data graph foundations and risk signals to categorize identity and asset risk and power multiple security and product use cases. • Build the next generation of automation and intelligence-agentify IAM operations to reduce toil and cost, and develop the Security Knowledge Platform to power identity and asset risk insights across Security Engineering. • Partner cross-functionally and raise the bar-align stakeholders across Security, IT, Ops, Product, mentor engineers through design reviews and incident learning, and set technical direction for the team.

Basic Qualifications

1. Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
2. 8 years of industry experience building large-scale backend platforms with deep experience in distributed systems and production infrastructure.
3. Strong programming experience in multiple languages (e.g., Go, Java, Python, Node.js, TypeScript) with a track record of shipping reliable systems.
4. Demonstrated expertise designing and operating scalable distributed services, including reliability engineering and operational excellence, observability, incident response, and SLAs.
5. Strong background in security engineering, preferably in identity and authentication, and building or operating security-critical pipelines at scale.
6. Proven ability to own complex systems end-to-end-from architecture and implementation to rollout, monitoring, and long-term maintainability-in large-scale environments.

Preferred Qualifications

1. Experience building or operating identity and security platforms, including authentication, authorization, AuthN, AuthZ, and observability systems at scale.
2. Experience building data pipelines and data products, graphs, databases, signals, platforms that power multiple downstream use cases across engineering and security.
3. Strong product and technical vision, able to shape a security knowledge platform into a high-leverage, widely adopted capability across Security Engineering, with a clear strategy, roadmap, and measurable impact.
4. Excellent problem-solving and troubleshooting skills in complex, high-scale, high-availability environments.
5. Strong communication and collaboration skills, with the ability to influence without authority and bring clarity in ambiguous problem spaces.
6. Demonstrated technical leadership through mentorship, coaching, and raising the engineering bar via design reviews, best practices, and operational rigor.

Sunnyvale, CA-based roles:

The base salary range for this role is USD232,000 per year - USD258,000 per year. You will be eligible to participate in Ubers bonus program and may be offered an equity award and other types of compensation. All full-time employees are eligible to participate in a 401k plan. You will also be eligible for various benefits. More details can be found at the following link: https://jobs.uber.com/en/benefits

Ubers mission is to reimagine the way the world moves for the better. Our bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us moves the world-lets move it forward together.

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: https://forms.gle/DWTk9k6xtMU25Y5A

Offices continue to be central to collaboration and Ubers cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.