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

N-iXUkraine1 day ago

Full-timeRemote FriendlyEngineering

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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.

We offer*:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits
not applicable for freelancers

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