EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.We are seeking a skilled and motivated Confluent Kafka Medium Engineer to join our dynamic team working on state of the art messaging/streaming technology to support Global HR, Finance and other corporate support areas. The ideal candidate will have a solid understanding of event streaming platforms and experience with Confluent Kafka. This role involves designing, developing, and maintaining our Kafka infrastructure, ensuring its reliability, scalability, and efficiency. You will work closely with cross-functional teams to integrate Kafka into our systems, support data streaming applications, and contribute to the continuous improvement of our CI/CD pipelines.
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#LI-DNI#Not foundResponsibilitiesDesign, develop, and maintain Kafka infrastructure and Kafka-based applicationsConfigure, monitor, and manage Kafka clusters, brokers, topics, and partitionsImplement best practices for data streaming, message transformation, and data persistenceDevelop and manage Kafka Connectors and Kafka Streams applicationsMonitor and optimize the performance, reliability, and scalability of Kafka clustersCollaborate with development, operations, and data engineering teams from different brands/countries to integrate Kafka with other systemsTroubleshoot and resolve Kafka-related issuesContribute to the continuous improvement of CI/CD pipelines to support Kafka deploymentsMaintain documentation for Kafka configurations, procedures, and troubleshooting guidelinesRequirementsBachelor’s / Master’s degree in Computer Science, Information Technology, or a relevant and verifiable technical course tenure or related field1-3 years of hands-on experience with Confluent Kafka or Apache KafkaSolid understanding of Kafka architecture, including brokers, zookeepers, producers, consumers, and topicsExperience with Kafka Streams, Kafka Connect, and Schema RegistryProficiency in at least one programming language (e.g., Java, Scala, Python)Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab, GitHub Actions, ArgoDB)Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)Understanding of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)Excellent problem-solving skills and ability to troubleshoot complex issuesStrong communication skills and ability to work collaboratively in a multicultural, geographically decentralized team environmentPreferred SkillsExperience with cloud platforms (e.g. Azure, GCP)Knowledge of data serialization formats (e.g., Avro, JSON, Protobuf)Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible)Understanding of microservices architecture and related technologiesExperience with Kotlin is a plus, but a strong JAVA knowledge and curiosity to learn, will go a long wayWe offerWe believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledgeFull access to cutting-edge tools and technologiesCompetitive compensation depending on experience and skillsAll-around Social package: professional & soft skills training, medical & family care programs, sportsRelocation opportunitiesFree English classesUnlimited access to LinkedIn learning solutionsContinuous experience exchange with experts and professionals worldwideFriendly team and comfortable working environmentEngineering, corporate, and social events within and outside the CompanyFlexible working scheduleOpportunities for self-realization
