or Ph.D in Computer Science or a related field or You have a working knowledge of information retrieval techniques You have a strong foundation in computer science with competency in algorithms and system design You are an expert in implementing and launching scalable systems We maintain our own reindexing system due to it being unfeasible to store document sources in our ES cluster.

You will work towards adding more intelligence to search, there is a lot of room for personal initiative and creativity there. You will manage an Elasticsearch cluster in GKE, as well as some Java microservices that provide an API to interacting with ES and other pipelines. There is some room for other languages due to being microservice-oriented and having a decent number of separate pipelines/batch jobs. You will work mainly with Java, but some Python and Scala.

Work with client engineers to ensure that we deliver an amazing search experience to our users in every Evernote client Design, implement, and launch new modular scalable search systems that search over hundreds of millions of notes and other content.

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