**About the Role** We are seeking talented Senior Software Engineers to join our Engineering team, supporting Search Engineering efforts. In this role, you will play a key part in designing and optimizing backend infrastructure, enabling real-time and batch data processing to enhance search retrieval, ranking, and product experiences. You will work closely with BE and ML engineers, data scientists, and product teams to build robust, scalable, and high-performance data systems that power personalized user experiences. **\-\-\-\- What the Candidate Will Do ----** 01. Develop serving infrastructure to enhance system latency, throughput, and reliability 02. Enhance search relevance by improving indexing, retrieval, and ranking mechanisms. 03. Develop and optimize search algorithms, ranking models, and query processing techniques. 04. Implement and maintain scalable search pipelines and distributed indexing systems. 05. Work with machine learning engineers to integrate AI-driven search ranking and personalization models. 06. Analyze search performance metrics and run A/B experiments to measure improvements. 07. Optimize latency, throughput, and scalability of search infrastructure. 08. Contribute to system design and architecture decisions to improve search quality and efficiency. 09. Write clean, efficient, and maintainable code in Go, Python or Java. 10. Collaborate with cross-functional teams to enhance search relevance and user experience. 11. Monitor and troubleshoot search-related production issues to ensure system reliability. **\-\-\-\- Basic Qualifications ----** 1. 5+ years of experience in software engineering 2. Expertise in big data technologies such as Apache Spark, Kafka, Flink, Airflow, Presto, or Snowflake. 3. Strong experience with search and recommendation systems, working with Elasticsearch, OpenSearch, Solr, or similar technologies. 4. Proficiency in distributed data processing frameworks and real-time streaming architectures. 5. Deep understanding of data modeling, ETL pipelines, and data warehousing principles. 6. Strong programming skills in Golan, Python, Scala, or Java. 7. Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure tools. 8. Ability to work on high-scale distributed systems and troubleshoot performance bottlenecks. 9. Strong problem-solving and analytical skills, with a passion for data-driven decision-making. **\-\-\-\- Preferred Qualifications ----** 1. Familiarity with search retrieval, ranking techniques, query understanding, and text processing. 2. Hands-on experience with search technologies such as Elasticsearch, OpenSearch, Solr, or Vespa. 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 Sunnyvale, CA-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. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/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](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.