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
SKILLS
Must have
- English - B2 or higher
- Kotlin, Java Spring Boot, Gradle
- Data Science and Machine Learning
- 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 skills
Candidates need to provide a cover letter with following details:
- Experience of work with Search Engines
- Semantics Search / Vector Databases, Embeddings and LLMs
Nice to have
- 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
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