DevOps (Data/ML) Engineer

DevOps Engineer

To complete one of the most highly technical teams in the business of my client I am looking for a strong DevOps engineer who has experience with Data and Machine Learning. The team itself is considered as one of the most technical and most knowledgeable teams in the business and have constantly shown to be able to push boundaries further and further.

The team consists out of several engineers (Machine learning, DevOPs, Data), Data scientists, a PO and some strong developers. And to complete this they are looking for a DevOps engineer who has a broad skillset that overlaps the different expertise in the team. Your knowledge especially would be of course in DevOps, CI/CD, terraform elasticsearch etc.. But you will also be working with large amount of Data and Dataflows, plus you are familiar with ML Deployment pipelines and models and you know how to run these because this is what the team focusses on most lately.

In short the requirements:
You are a Sr DevOps engineer
You have knowledge of Data and Machine Learning
Technical software/tools used is Terraform, Elasticsearch, AWS, BMX, Jenkins, Sonar to name a few. Knowledge on these tools is highly preferable.
A big plus if you have experience in a large environment, especially considering the complexity that comes with it which they can definitely use.
You speak fluent English (Dutch is not a requirement)

Contract
This project would be for at least a full year, and possibly longer if you and the client see future opportunities together. It will be preferably fulltime and working from home is definitely on the table. They have as well team members outside the Netherlands so this is considered as not a problem.

There is of course much more to share than I can simply write here. So are you feeling you match the requirements and want to be part of a ground-breaking team? Feel free to out reach for more info to Jeroen Evertsen and apply!