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Data indexing, search, and analytics, i.e., Elasticsearch, Spark, Databricks, Delta Lake. AWS GovCloud tools and technologies including AWS RDS, Lambda, OpenSearch (Elasticsearch), ElasticCashe for managed Redis Cache, ALB for load balancing, EC2, S3, Elemental MediaConvert, SSO, EventBridge, MSK for managed Kafka, KMS.
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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. 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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You'll be a full time Elasticsearch contributor, building new vector search features and fixing intriguing bugs, all while making the code easier to understand. You’ll work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
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Years of backend experience with Ruby or Ruby on Rails Expert knowledge configuring and maintaining search engine platforms such as ElasticSearch, Lucene, etc. 3years of backend experience with Ruby or Ruby on Rails Expert knowledge configuring and maintaining search engine platforms such as ElasticSearch, Lucene, etc.
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Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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Experience with Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Search tools: Solr, Lucene, Elasticsearch Object-oriented/object function scripting languages: Python, Java, C. AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, Spark-Streaming, etc.
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Experience in integrating application with indexed search services such as Elasticsearch, Solr. Experience with cloud data warehouses like Databricks, Snowflake, Synapse, Redshift, Bigquery.
$153,550 - $230,350 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools. Collaborate closely with product teams, data engineers and other teams internal and external teams to translate business requirements into robust technical solutions.
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Discovery, universal search, movies, tv shows, streaming, Online marketing, movie marketing, sports, games, media buying, creative services, entertainment data, and VOD availability data.
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Were building the next-generation cloud-native security platform for CrowdStrike which includes an application and service delivery platform, massively scalable distributed data storage and replication systems, and a cutting-edge search and distributed graph system.
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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.
$126,800 - $240,800 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with API-services, COTS integration, Big Data and search technologies (Hadoop, Spark, Solr, Zookeeper, ElasticSearch, etc.) 3+ years of experience in system administration/engineering and applications monitoring/support in Cloud-based environments and services - BigData (Hadoop, Spark, Solr, Zookeeper, ElasticSearch are some.
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Understanding of database design concepts (Pluggable DB's) and data modeling for relational or nonrelational databases such as RDBMS (Oracle/Postgres), No SQL (MongoDB, Cassandra) or NewSql (Cockroach DB) and search DB's like Elasticsearch incorporating multi-master across multi-regions.
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