Job Description

About the Role

Delivery Search powers the discovery experience for Uber Eats, Groceries, and Retail - enabling customers to find the right stores, items, and deals quickly and reliably. We build and operate large-scale query understanding, retrieval, and ranking systems that serve millions of users daily, continuously improving search relevance, personalization, and performance.




In this role, you will lead a high-impact engineering team responsible for advancing Uber's query understanding capabilities - including query parsing, spell correction, synonym expansion, entity recognition, and intelligent suggestions. You will drive the design and optimization of distributed systems that power low-latency retrieval, ranking, and hydration, ensuring continuous improvements to the throughput, scalability, and reliability of the serving stack.




You'll partner closely with Product Managers, Data Scientists, and Machine Learning teams to bring new capabilities to market, while ensuring your team delivers systems that are scalable, maintainable, and reliable at Uber scale.
- What You Will Do -





Own the technical vision and roadmap for backend services powering Delivery Search. Lead, manage, and grow a team of backend engineers, fostering technical excellence and professional development. Drive execution for large-scale improvements in query processing, retrieval and ranking performance. Architect and evolve distributed systems to ensure high availability, low latency, and scalability at Uber scale. Partner with ML engineers to integrate AI-driven ranking and personalization models into backend services. Collaborate with Product, Data Science, and other Search infrastructure teams to deliver impactful features and improvements. Establish and uphold engineering best practices in code quality, design, testing, and operations. Recruit, onboard, and retain top backend engineering talent, with a commitment to diversity and inclusion.
- What You Will Need -





Bachelor's degree (or higher) in Computer Science or a related technical field. 10+ years of software engineering industry experience, including deep expertise in large-scale distributed systems. 3+ years of engineering management experience leading high-performing teams. Strong system design and architecture skills, with the ability to lead from a technical perspective when necessary. Proven track record of delivering high-scale, high-availability services in a fast-paced environment. Experience with search infrastructure (e.g., Elasticsearch, OpenSearch, Solr) or other distributed indexing/retrieval systems.
- Preferred Qualifications -





Familiarity with search ranking, query understanding, and text processing. Experience with big data and streaming technologies (e.g., Spark, Kafka, Flink, Airflow, Presto). * Experience with experimentation platforms and performance measurement.