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Databricks experience is a big plusPython experience is a big plusFamiliarity with Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools.
$170,000 - $220,000 a yearFull-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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 12 days ago - UpvoteDownvoteShare Job
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We are in search of an accomplished Senior Software Engineer with expertise in Elasticsearch, Kafka, JSON,. - Elasticsearch, Logstash and Kafka Mastery: Leverage your deep understanding of Elasticsearch, Logstash and Kafka to architect, implement, and optimize high-performance, scalable, and fault-tolerant data pipelines and search systems.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Improve our search function using Elasticsearch clusters to meet website performance, scalability and performance. Initially you’ll be focusing on redeveloping our City Electric Supply website, where you’ll be focusing on the user experience and overhauling our data architecture behind the site.
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Redesign our customer journey, improving our server side software including databases, back-end logic, application programming interface (APIs) and architecture. We recognise that technology and data are at the forefront of enabling our business to better serve our customers today and in the future.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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DE performing Demilitarized Zone ("DMZ") subnetwork for external facing Web-applications; setting up Airflow for data engineering applications; creating databases using AWS RDS,PostgreSQL, and Redis; creating search platforms using ElasticSearch; and enabling application logging and infrastructure monitors - Network flow, Disk utilization, CPU, and Memory -using Datadog.
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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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Experience in integrating application with indexed search services such as Elasticsearch, Solr. We're looking for a Sr. Principal Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust.
$161,250 - $241,875 a yearFull-timeExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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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 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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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.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You'll help us create the future of search within Elasticsearch - building a scalable search tier for our Serverless platform and writing search functionality in ES|QL, our new piped query language as two examples.
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You'll work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch. You'll be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area.
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You have professional experience with vector similarity and vector databases and have leveraged IVFPQ, HNSW, or other relevant algorithms and libraries on search platforms at scale. contributor, building new vector search features and fixing intriguing bugs, all while making the code easier to understand.
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