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As a Senior Elasticsearch Engineer, you will play a pivotal role in designing, implementing, and optimizing our Elasticsearch infrastructure to support our growing data and search needs.
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The AI/ML Engineer will develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning and use the right combination of tools and frameworks to turn a set of data points into objective answers to help senior leadership make informed decisions.
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This is a senior software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.
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We're seeking a highly skilled Senior Software Engineer to join our Digital Insights Search Engineering team, driving the development and maintenance of Moodys.com's next-gen search/prompt platform, including RAG (retrieval augmented generation) capabilities.
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7+ years of building large-scale systems using ElasticSearch, MongoDB and Kafka. 4+ years of expertise in building large systems with fault-tolerant technologies such as ElasticSearch, MongoDB or Kafka.
$116,400 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with engineering, product and Data Operations, teams to understand the requirements for Offer launch on new platform. You will be meeting with external engineering product managers and product, service, and pricing data operations teams to resolve their difficulties.
$116,400 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We're looking for a Software Engineer to join the Elasticsearch - Search team. You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
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Our work depends on Software Engineer Senior joining our team to develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning and use the right combination of tools and frameworks to turn a set of data points into objective answers to help senior leadership make informed decisions.
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The amount of digital data that we consume and produce on a daily basis has grown exponentially, but the way we access, search, and discover that information hasn't kept up. We're seeking a Search & Discovery Engineer who can improve search quality and knowledge discovery in Mem. If you are someone who is creative and attentive to detail with a passion for knowledge retrieval and discovery, we're eager to meet you.
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OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. Working in AWS Search ServicesThe Search Services team in AWS designs, develops and operates software that allows customers to index, search and analyze documents at scale in a secure, responsive, and reliable environment.
$115,000Full-timeExpandUpdated Today - UpvoteDownvoteShare Job
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We're looking for a Senior Software Engineer to join the Elasticsearch - Search Foundations team. This is a principal software engineering role that covers leading significant initiatives in the core search areas of Elasticsearch, the design and implementation of new features, enhancements to existing features, and resolving bugs.
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Familiarity with Apache Kafka, Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools. Mentor junior engineers, providing guidance and oversight to ensure high-quality software development practices.
$170,000 - $220,000 a yearFull-timeExpandUpdated 3 days ago - UpvoteDownvoteShare Job
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We are looking for a Senior Software Engineer to help us take our Search infrastructure to the next level of scalability, power innovation, and growth worldwide. In-depth knowledge of at least one search engine (Elasticsearch, Solr, Vespa.
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As a Senior Software Engineer at City IT you will be responsible for working on a variety of customer-centric projects in our Digital Domain. Strong background and experience with Elasticsearch to build out a search engine.
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This role is within the Operations and Maintenance support team to monitor cloud infrastructure, search engine clusters' performance, code ETL and scripts for data management and ingest, import/export data collections, deploy large scale Solr and elasticsearch clusters, data measurement and reporting, track query response times, monitor search performance metrics, troubleshoot data processing issues, implement search logic and data algorithms for processing.
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