Distributed Systems Engineer

vor 1 Tag


Wien, Wien, Österreich beON consult Vollzeit
Job Title: Distributed Systems Engineer

We are seeking a highly skilled Distributed Systems Engineer to join our team at beON consult. As a key member of our team, you will be responsible for designing, implementing, and maintaining large-scale distributed systems and event streaming platforms based on Apache Kafka.

Responsibilities:
  • Design and deploy customized event streaming platforms using Apache Kafka and current industry standards.
  • Develop and implement scalable and resilient distributed systems using Java and other relevant technologies.
  • Collaborate with customers to understand their requirements and provide comprehensive consulting on event streaming technologies.
  • Implement complex solutions for Big Data and Data Analytics applications using Apache Kafka and other relevant technologies.
  • Develop and maintain Docker containers and container images using Docker, OpenShift, and/or Kubernetes.
  • Design and implement microservices architecture for distributed systems.
  • Develop and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines using Jenkins, Maven, and other relevant tools.
  • Collaborate with cross-functional teams to ensure smooth delivery of projects.
Requirements:
  • Completed studies or comparable training with a technical background.
  • Sound experience and knowledge in Java.
  • Experience with Apache Kafka or similar large-scale enterprise distributed data systems technologies.
  • Experience in software development and automation to run big data systems.
  • Experience with implementing complex solutions for Big Data and Data Analytics applications.
  • Knowledge in system deployment and container technology with building, managing, deploying, and release managing Docker containers and container images.
  • Knowledge in developing resilient scalable distributed systems and microservices architecture.
  • Experience with at least one of the distributed technologies (e.g., Kafka, Spark, CockroachDB, HDFS, Hive, etc.).
  • Experience with at least one of the stream processing frameworks (e.g., Kafka Streams, Spark Streaming, Flink, Storm).
  • Knowledge in Continuous Integration/Continuous Delivery (CI/CD) using Jenkins, Maven, Automake, Make, Grunt, Rake, Ant, GIT, Subversion, Artefactory, and Nexus.
  • Understanding of SDLC processes (Agile, DevOps), Cloud Operations, and Support (ITIL) Service Delivery.
  • Knowledge in authentication mechanism with OAuth, knowledge of Vert.x and Spring Boot.
  • Knowledge in SQL Azure, AWS development, and cloud migration to one of AWS, Azure, Google Cloud Platform, and/or Hybrid/Private Cloud.
  • Experience with monitoring tools and logging systems such as NewRelic, ELK, Splunk, Prometheus, and Graylag.
  • Ability to communicate technical ideas in a business-friendly language.
  • Interest in modern organizational structure and an agile working environment (SCRUM).
  • Customer-oriented and enjoy working in an international environment in German and English.


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