Job Title

Project Description:The 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.Responsibilities:We 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 solutions.Mandatory Skills Description:Must have: Kotlin, Java Spring Boot, Gradle;Must have: Data Science and Machine LearningMust have: Semantics Search / Vector Databases , Embeddings and LLMs- At least 5 years of work experience as a Data Scientist/ML engineer- At least 5 years of work experience including enterprise backend system design experience- Strong knowledge of Java/Kotlin language- Strong knowledge of Spring/SpringBoot- Good 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 LLMs- Experience of development in production- Familiarity with databases (SQL/PostgreSQL)- Deep understanding of enterprise application architecture patterns- Experience with distributed systems- Familiar with microservice architecture patterns- Familiar with Containers and Orchestration Systems (Kubernetes/PKS/OpenShift)- Adoption of Agile and DevOps culture- Strong written and verbal communication skillsNice-to-Have Skills Description:- Experience of work in distributed teams, with US customers- Experience in working with Kafka/Rabbit and caching (Hazelcast/Redis)- Experience in a hybrid cloud environment or willing to learn new techniques and approaches