On behalf of Stibo Systems, Ciklum is looking for a passionate Java Microservice Developer keen to work in this environment. It will be a full-time position and based in Gdansk, Poland. Microservice architecture, continuous delivery, infrastructure as code, machine learning – does that sound like a developing environment you would like to join?

Responsibilities

We have one scrum team for the new data science initiative for now. The team is staffed in both the Danish and Polish offices. This means, that you will participate as a member of a normal scrum team, where you participate in ideation, planning, implementation, and facilitation.

We have tasks in machine learning, back-end development, and DevOps, and currently all work in more than one field. We are an autonomous scrum team, but we will be working closely together with the other cloud scrum teams, so we do not have to reinvent the wheel again. It will be possible to get responsibilities within machine learning, back-end development, and/or DevOps, depending on your profile and ambitions.

The product is a multi-tenant cloud platform for machine learning assistance to the workflows in our master data management (MDM) solution. We are working with large multi-dimensional data sets, and complex meta-specified data models in a microservice architecture, which means that we have interesting algorithmic and technical challenges to solve, along with the performant machine learning algorithms for the real world. Thus, a relevant degree in Computer Science or Software Engineering is key. You can be fresh out of school, preferably with some experience as a student programmer, or you can be more experienced.

We have started with classification machine learning algorithms, which also requires knowledge about data preparation and statistics. It will be an advantage to have worked with machine learning before, but we will assist you in acquiring the competences, if you do not have it already.

Good English skills are important due to the cross-country collaboration with our colleagues.

We develop the microservices using Java 11, Spring Boot 2, Gradle, Python, Istio, Docker, and Kubernetes. We build with Jenkins Pipeline and provision to AWS using Ansible and Terraform. Besides that, we use technologies like:  Cassandra, Elasticsearch, Kafka, Keycloak, Humio, Jäger, Prometheus, Grafana, and Alertmanager.

For machine learning we use scikit-learn and SageMaker for now and are investigating other tools.

We do not expect you to know our entire technology stack in advance, but an interest in learning the technologies, and new technologies in general, is expected.

What's in it for you