Project descriptionThe primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week. Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart. Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.ResponsibilitiesWe are looking for an experienced Data Engineer with Java Development expertise and good understanding of search engines, who can help to perform migration of client platform: Quickly onboard to Customer's processes, Develop new features in Java and Kotlin for Spring Boot Microservices, as well as maintain existing ones, Improve Personalized Search, Modernize Data Ingestion for faster searching and indexing, Collaborate with other teams and client to find the best solutionsSKILLSMust haveEnglish - B2 or higherKotlin, Java Spring Boot, GradleData Science and Machine LearningSemantics Search / Vector Databases, Embeddings and LLMsAt least 5 years of work experience as a Data Scientist/ML engineerAt least 5 years of work experience including enterprise backend system design experienceStrong knowledge of Java/Kotlin languageStrong knowledge of Spring/SpringBootGood understanding of how search engines works (experience with Lucene based engines preferred e.g. Elasticsearch, Solr, etc.)Good understanding of semantics search / vector databases, embeddings and LLMsExperience of development in productionFamiliarity with databases (SQL/PostgreSQL)Deep understanding of enterprise application architecture patternsExperience with distributed systemsFamiliar with microservice architecture patternsFamiliar with Containers and Orchestration Systems (Kubernetes/PKS/OpenShift)Adoption of Agile and DevOps cultureStrong written and verbal communication skillsCandidates need to provide a cover letter with following details: Experience of work with Search EnginesSemantics Search / Vector Databases, Embeddings and LLMsNice to haveExperience of work in distributed teams, with US customersExperience in working with Kafka/Rabbit and caching (Hazelcast/Redis)Experience in a hybrid cloud environment or willing to learn new techniques and approaches
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