Sr Software Engineer, Ad Serving

Sr Software Engineer, Ad Serving Department: Engineering Team: Backend Location: San Francisco, United States Type: Full-Time **About the Role** 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. **What the You'll Do** - 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. **Basic Qualifications** - 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. **Preferred Qualifications** - 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