About the Role
The Search Platform team at Uber is building the next generation Search Engine (SIA) to cater to all Search and Relevance use cases across Uber
As a senior engineer on the team, you will define and build the capabilities to be built into the search engine and scale the platform to support various mission critical use cases from around the company.
What You'll Do
As a Staff Software Engineer, you will:

• Lead cross-functional initiatives working with multiple internal customers.
• Design, develop and support a world-class search platform serving a wide variety of use cases.
• Envision, design and deliver operational automation and tooling to allow our internal customers operate their infrastructure with confidence.
• Help build infrastructure for the next wave of growth, including building customized components to solve Uber specific problems and evolve the technology for hyper growth.
• Produce high quality code that is robust, efficient and maintainable; our primary languages are Java and Go.
• Work at the core of Elasticsearch and Apache Lucene open source software with opportunities to contribute to open source.
• Work on challenging problems in areas such as relevance ranking, data ingestion, data storage, query optimization, JVM performance optimization, security, machine learning and more.
• Continually challenge what exists and explore what should be changed to best meet our business needs.
• Possess expert knowledge in large scale distributed system design and engineering best practices.
• Participate in setting a vision and objectives for a search platform in alignment with market opportunities.
• Drive and work on algorithm and architecture design, execute and deliver fault-tolerant systems.

Basic Qualifications

• 8+ years experience producing high quality large-scale software
• BS or MS in Computer/Information Science or Engineering
• Expertise in one or more object oriented programming language (e.g. Java, Go, Python, C++)
• Experience with building scalable production services with strict SLAs
• Experience with developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.
• Ability to decompose co
• Experience with large-scale distributed search and storage systems (e.g. Elasticsearch, Apache Lucene, Apache Solr, Kafka)
• Complex business problems
• Experience implementing projects with multiple dependencies

Preferred Qualifications

• Experience with Search, Information retrieval, and Ranking
• Experience with Machine Learning