Responsibilities:
- Lead the design and architecture of a high-performance search infrastructure, prioritizing scalability, reliability, and efficiency.
- Collaborate with several cross-functional teams to define requirements and translate them into technical specifications.
- Develop and implement state-of-the-art search algorithms, enhancing search performance and relevance.
- Optimize existing search infrastructure for efficiency, speed, and accuracy.
- Devise and implement solutions that seamlessly scale with the growing needs of our user base.
- Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement
Basic Qualifications
- BS or MS in Computer Science or a related technical discipline, or equivalent experience.
- Highly proficient in one of the following programming languages: Java, Go, C/C++. Good scripting skills and ability to pick up new ones.
- Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.
Preferred Qualifications
- Under the hood experience with Apache Lucene, ElasticSearch, OpenSearch, Solr and other Search technologies is a strong plus
- Experience with highly available/fault tolerant, replicated data storage systems, large scale data processing systems or enterprise/cloud storage systems is also a strong plus
- 8+ years of experience building and managing distributed systems. Sound understanding of distributed system fundamentals
For Sunnyvale, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.
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 .