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About The RoleUber's newly formed AI Security team, part of the Core Security Engineering organization, is building the foundation for dynamic, data-driven security systems. We're evolving Uber's Zero Trust Architecture (ZTA) to be more risk-adaptive across authentication and authorization, moving beyond static rules and manual approvals toward real-time, contextual access decisions that secure both humans and AI agents without slowing them down.

As a Senior Backend Software Engineer, you will design and build scalable, reliable systems that power Uber's next-generation security platform. You'll translate ambiguous business and security requirements into robust backend services, data pipelines, and infrastructure components, taking them end-to-end into production.

This is greenfield work at the intersection of security, distributed systems, and infrastructure, shaping how Uber secures AI at scale.

What The Candidate Will DoTranslate business and security needs into scalable backend architectures and services.

Design and implement high-performance APIs and services that enable risk-adaptive access decisions.

Build data ingestion, processing, and storage systems that power security signals and analytics.

Integrate backend services into Uber's critical access pathways (containers, APIs, gateways, data platforms).

Collaborate with Security, Risk, and Infrastructure teams to deliver production-ready systems.

Provide technical leadership through mentoring, design reviews, and best practices.

Basic Qualifications5

• years of experience designing and building large-scale backend systems from ambiguous business requirements.

Strong proficiency in building distributed systems using modern backend languages (e.g., Go, Python, Java, or similar).

Experience designing APIs, services, and data models for high-availability, low-latency systems.

Hands-on experience with building, deploying, and operating production services.

Strong understanding of system reliability, performance, and security best practices.

Preferred QualificationsProven ability to own backend systems end-to-end: requirements design implementation deployment operations.

Experience building real-time or near-real-time systems for risk, fraud, identity, or access control.

Familiarity with large-scale data and infrastructure systems (Kafka, Pinot, Hive, Cassandra, Spark, Flink, etc.).

Background in authentication, authorization, identity, or enterprise security platforms.

Track record of technical leadership: mentoring engineers, driving cross-functional initiatives, or shaping platform strategy.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year

• USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year

• USD$224,000 per year.

For all US locations, 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. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's 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.

Offices continue to be central to collaboration and Uber's 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.