Middle/Senior Backend Engineer (Kafka, Java, ELK) (#4928)
N-iX, Poland, NY, United States
Poland, Romania, Ukraine
Work type:
Office/Remote
Technical Level:
Middle
Job Category:
Software Development
Project:
ZIM
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
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
#J-18808-Ljbffr
Work type:
Office/Remote
Technical Level:
Middle
Job Category:
Software Development
Project:
ZIM
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
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
#J-18808-Ljbffr