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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. Youll work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
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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. We're looking for a Software Engineer to join the Elasticsearch - Search team.
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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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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 search capabilities of Elasticsearch. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene.
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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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Systems built upon open source storage and search technologies including Cassandra, Kafka, Solr, Postgres and Redis. We are seeking an experienced and dynamic Site Reliability Engineer (SRE) Operator to join our team in maintaining the reliability, availability, and performance of our systems.
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At least 3 years of prior demonstrated experience in a Site Reliability Engineering, DevOps, or an Infrastructure-focused role. Interact with and support partner teams including engineering, SRE, QA, and project management.
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Key QualificationsAt least 3 years of prior demonstrated experience in a Site Reliability Engineering, DevOps, or an Infrastructure-focused role. Building and operating container orchestrating systems like Kubernetes or EKS.Designing, building and maintaining infrastructure with a cloud provider such as AWS.Automation advocate - prior history of removing operational toil via software.
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Site Reliability Engineer. Prepare alert handling procedures, runbooks, and collaborate with our off-shore SRE team. Actively participate in capacity planning and disaster recovery exercises. Deployment automation via Terraform or CloudFormation.
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Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene. Create efficient data messaging and access solutions for Kafka, Cassandra, and PostgreSQL databases.
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Familiarity with developing e-commerce application modules such as Catalog setup and Search (Solr, ElasticSearch etc.) Significant knowledge of SQL Database and NoSQL Databases (Oracle, Postgres, Cassandra.
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Have proficient knowledge and experience with Kafka Queues, Cassandra, Solr, Elastic Search, SQL. Have proficient knowledge and experience with Kafka Queues, Cassandra, Solr, Elastic Search, SQL.
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Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora. HBase, Cassandra, MongoDB. Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR.
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