This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Ad Serving Infrastructure team provides the high-performance backbone that allows Uber’s product teams to innovate rapidly with minimal operational toil. As a Senior Engineer, you will lead mission-critical initiatives to drastically reduce latency and maximize availability on the core ad serving path. You will architect foundational capabilities that unify diverse ad surfaces and complex demand constraints, directly enabling the next generation of scalable advertising products across the Uber ecosystem.
Job Responsibility:
Lead the design and implementation of low-latency infrastructure, including in-memory signal caching and ad platform consolidations
Drive the development of sophisticated reliability metrics (e.g., Error Free Rate) to capture system degradation and more accurately gauge ad serving health
Conduct latency deep-dives and system profiling to achieve aggressive sub-20ms goals for core ad serving paths
Collaborate with product and delivery teams to build reusable abstractions that minimize toil and accelerate engineering velocity
Champion operational excellence by performing DR audits and documenting risks to ensure long-term platform resilience
Requirements:
5+ years of experience in software engineering
Expertise in Java, Go, or C++ with a deep understanding of concurrent programming and high-performance backend system design
Proven experience architecting and maintaining large-scale distributed systems where high availability (99.99%) and ultra-low latency are primary requirements
Demonstrated ability to perform performance profiling and deep-dives into complex systems to identify and mitigate latency hotspots and bottlenecks
Nice to have:
Prior experience in the AdTech domain, particularly with ad exchanges, bidders, or real-time auction engines
Hands-on experience with real-time data technologies such as Apache Pinot and Kafka to build advanced monitoring and troubleshooting tools
Experience leading Disaster Recovery (DR) audits and exercises to identify and mitigate catastrophic platform risks
A background in building reusable service abstractions and frameworks that significantly improve developer velocity across multiple teams