Oferta pracy

Java Engineer

Ringier Axel Springer Polska Sp. z o.o.O firmie

  • Kraków, małopolskie

  • Ogłoszenie wygasło miesiąc temu
  • Rekrutacja zdalna
  • Praca zdalna
  • Specjalista (Mid / Regular)
Ringier Axel Springer Tech is a technology hub of Ringier Axel Springer Media AG, a leading media&tech company in CEE, with a portfolio of 100 press titles and 70 online products. In three cities in Poland, 50 teams of over 300 IT professionals create multiple services, reaching 40 million people. Among our core products, you will find a comprehensive digital publishing platform – Ring Publishing, as well as leading media brands: Onet, Sympatia, Business Insider Polska, NOIZZ in Poland and Blic, Blikk or NOIZZ in the neighbouring countries. We empower free decisions, and we believe that the future of media is written in code. In the world where media cannot exist without technology anymore, we are those who push forward. We create the future of digital media.
Java Engineer
We are looking for a  Java Engineer eager to take the challenge and unleash the power of data and technology. We are the Recommender Team which is responsible for development of next generation cloud-native enterprise automatization and personalization platform with built-in Artificial Intelligence Capabilities. On daily basis we deal with millions of users, tens of thousands of events per second, billions of records in data warehouses, petabytes of data, dozens of clients from the media industry throughout Europe. Today you can join us! Together we will boost publishing to a new era.

Must have skills:

  • Experience in using Java (Spring Microservices)
  • Familiarity of cloud computing on AWS (S3, RDS, Kinesis, etc)
  • Openness to new technologies and languages (ie. Kotlin)
  • SOLID principles, Clean Code practice

Additional assets:

  • Background in recommendation systems exploiting Machine Learning models
  • Knowledge of AWS on architect level (e.g. defining infrastructure and it access policies)
  • Experience with online and offline data processing tools and technologies (ie. Storm, Kafka, Spark, Flink)
  • Familiarity of Hadoop ecosystem (ie. Hive, Impala, Oozie, Flume)
  • Working knowledge of DevOps and Infrastructure as Code (IaC) tooling

And other reasons to join:

  • no blame culture
  • high autonomy
  • great developers to work with
  • DevOps culture
  • Agile culture
  • tech guilds
  • cool offices
  • lightning talks & tech days
  • Multisport package & group sport activity
  • life insurance
  • private healthcare for you & your family
  • flexible working time
  • training and conference budget
  • bicycle parking
  • company parties

Our offer:

  • Professional development in the fields of Big Data, Data Science and Machine Learning
  • Learn on the job from our experienced team of international software engineers
  • Work on bleeding edge public cloud architecture and data engineering framework
  • Bring in your own ideas and be part of the decision making

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