Middle/Senior Backend Engineer (Kafka, Java, ELK)

#4928 We are looking for an experienced Backend Engineer to join a well-established development team working on large-scale event-driven systems. Our client is an integrated shipping services company that has established itself as an independent carrier with a fresh and innovative approach to global logistics. The company operates a smart and efficient worldwide network, delivering reliable shipping services and ensuring stable operations for customers across the globe. In this role, you will design and build event-driven solutions using Kafka and related technologies, focusing on stream processing applications, data pipelines, and monitoring solutions built with the ELK stack. Responsibilities: • Design and develop event-driven architectures using Apache Kafka and Kafka Streams; • Build and maintain stream processing applications and data pipelines; • Design and implement ELK pipelines, indexes, dashboards, and alerts; • Lead architecture discussions and contribute to the design of Kafka-based event streaming systems; • Configure Kafka connectors and manage Kafka topics; • Develop scalable event-based processing applications according to architecture and design specifications; • Support development and QA teams throughout the software development lifecycle; • Contribute to monitoring, observability, and reliability of streaming platforms. Requirements: • 4+ years of experience building Kafka-based applications;• Strong experience with Kafka ecosystem components: • Kafka Streams (including Processor API) • Kafka Connect • Schema Registry • 4+ years of experience with Java and Spring, implementing Kafka Streams applications; • Hands-on experience with the ELK stack (Elasticsearch, Logstash, Kibana) for monitoring and observability; • Experience with Logstash Configuration Language (LCL) for configuring pipelines (inputs, filters, outputs); • Solid knowledge of SQL and Oracle PL/SQL, including query optimization; • Experience working with REST APIs; • Experience using Kafka CLI tools and REST APIs for managing Kafka resources; • Experience working in Linux/Unix environments; • Experience with IntelliJ IDEA; • Experience contributing to DevOps processes for Kafka and ELK. Nice to Have: • Experience managing and maintaining ELK servers; • Experience with Confluent Kafka Cloud; • Experience with Python; • Exposure to AI/ML-related projects.