Staff Software Engineer, Ad Serving & Attribution Infra

About the Role

The Ad Serving and Attribution Infrastructure team is the backbone of Uber's global advertising business, responsible for the high-performance engines that deliver ads and the massive-scale pipelines that attribute every engagement. As a Staff Software Engineer, you will provide high-level technical leadership across both the Ad Serving and Metrics & Attribution teams. You will architect the end-to-end lifecycle of an ad-from sub-20ms delivery to precise real-time attribution-ensuring our infrastructure remains the most reliable, scalable, and \"source-of-truth\" platform for Uber's multi-billion dollar advertising ecosystem

What the Candidate Will Do:

- Serve as the Architect for the Ad Serving and Data Infra org, defining the long-term technical vision and ensuring architectural alignment between serving and attribution systems.
- Tackle the organization's most complex problems, such as re-engineering the critical path to achieve sub-20ms latency while maintaining 100% data accuracy for attribution.
- Mentor and grow Senior and Staff-level engineers, fostering a culture of engineering excellence, rigorous design reviews, and high-velocity innovation.
- Partner with Product and Data Science leadership to design foundational capabilities that enable new ad formats and surfaces across Uber's global marketplace.
- Drive operational rigor across the org by identifying systemic risks and lead the implementation of frameworks that minimize technical debt and \"toil\" for all engineering teams.

Basic Qualifications:

- Minimum 8 years of experience in backend engineering, with a mastery of Java, Go, or C++ and a proven track record of architecting world-class distributed systems.
- Deep knowledge of both low-latency serving architectures (high-concurrency, in-memory caching) and large-scale data processing (Apache Flink, Kafka, and stream-processing internals).
- Demonstrated experience leading multi-quarter technical roadmaps that span multiple teams, specifically focused on platform consolidation, system resilience (99.99%+), and cross-functional architectural standards.

Preferred Qualifications:

- Deep expertise in the end-to-end ad lifecycle, including real-time auctions, bidders, and complex attribution modeling at the billion-event scale.
- Proven ability to drive \"Tier-0\" reliability initiatives, such as organization-wide Disaster Recovery (DR) strategies and the development of sophisticated health metrics (e.g., Error Free Rate).
- Experience with advanced data technologies like Apache Pinot or ClickHouse to bridge the gap between real-time serving and offline analytical insights.

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

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 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 [](;br>
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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](;br>
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.