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.