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

O projekcie: #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. Wymagania: - 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. Codzienne zadania: - 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.