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Team Description
The Machine Learning Engineering Team is immersed since over 6 years in on-prem real-time data & event processing. Now a new journey to modularize the tech stack and move to the cloud has started: all while continuing to develop innovative, data-based products and solutions for customers and partners.

Current products and tasks include:
• Real-time marketing campaigns: we reach millions of customers who use these campaigns regularly. They include Location-based campaigns, raffles, real-time Coupon Assignments
• Embedding of ML Models in new and existing products
• Operation and continuous improvement of the tech stack

Current Tech Stack:
• Architecture & Frameworks: Spring Boot, Spark, Flink, Kafka, Cassandra, ELK, Oracle
• Languages: Java, Python, Scala, Groovy
• Build & Deployment: Gradle, Jenkins, Ansible, Kubernetes/OpenShift, Docker, Helm, Kubeflow
• Quality Assurance: Test automation & management, Spock, scalatest, Gatling

Your responsibilities:

  • Software development, testing and documentation within an agile way of working.
  • Contribution to solution design.
  • End-to-end responsibility within CI/CD.
  • What you build as a team, you also run as team.

Your Profile:

  • You have experience programming in Java or Scala.
  • You know how to work with Spring Boot, Spark Streaming, Kafka, Cassandra, ELK and SQL.
  • You are familiar with the other areas of our tech stack or open to learn.
  • You have experience in test automation and management.
  • Containerization and Cloud experience a plus.
  • A passion for software development, big data and intelligent solutions.
  • Good communication skills in English.

How about?

Employment contract? Of course. With us you do not have to worry about stable employment.
‎Flexible working hours? Sounds great! We start working between 8 to 10.
Friendly atmosphere at work? Yes! In PAYBACK, people are the most important asset‎.
Benefits? We have them! Among other: corporate incentive program, sport card, private medical care.
Dress code? We definitely say no. There are no rigid dress code rules in our company, sneakers are more than welcome.
Trainings? Of course. We provide training to develop hard and soft skills.
Working in a hybrid model? Of course! You work with us 2 days a week from the office, 3 days a week from home.
‎Something is missing? Open communication is our priority, so dare to ask!‎
Don't wait and send your CV!