Kafka Stream Processing Developer Offline

We are looking for a Stream Processing developer (Kafka, Google Dataflow, Apache Spark etc) who will be an expert in our complex projects, which is in the active phase of development. The developer will take a part of the retail management system for the one of the biggest RMS providers in Europe.

What you will be working on:

• Developing modern highly scalable, high load system, using latest technologies

• Take part in application design

• Be part of bigger team of developers working on different parts of the system

We use a vast set of modern technologies: Google Cloud using PubSub, Firestore, Cloud Storage, Cloud Run, Confluent Kafka streams, Google Dataflow streams, elasticsearch, Kotlin, .NET Core.

What you offer us:

• Good experience with stream processing (Kafka, Google Dataflow, Apache Spark or others)

• Nice to have a good knowledge of any of the programming languages: Java and/or Kotlin

• Solid understanding of software architecture, design principles and patterns

• Unit, acceptance, performance, and integration testing

• High motivation of developing new services on Google Cloud Platform

• A team player, who works well independently and takes responsibility and ownership

• Curious about new technology and how it can benefit our customers

• Strong analytical skills

• Positive, easy-going and service-minded

Preferred Skills:

• GCP stack

• Confluent Cloud stack

• Elastic Cloud stack

• Kubernetes/Docker

• Experience in cloud development and cloud-native services (preferably GCP)

• Continuous Integration

• Scalability

• Observability

• Microservices

• Event-driven development and architecture