DevOps Automation engineer

Mission context
A data science squad consists of a small group combining the required skills to design build and test AIenabled solutions within a limited timeframe.
As a data science team member the DevOps Automation engineer applies his knowledge of software development best practices to help data scientists deliver fully operationable solutions. Included you set up the necessary monitoring to guarantee that the solution can be monitored.
Collaboration with data scientists and IT Ops engineers enables you to make sure that solutions are built first time right and can be deployed.

Function description
The DevOps Automation Engineer commits to helping the team meet the code quality and testing standards expected to be able to serve AI models in production. He is responsible for helping reduce the application footprint guarantee resilience and setup monitoring of the solution.

The focus is on the completion of the sprint backlog containing all elements that the team must deliver and of which the sequence has been determined by the Product Owner based on the added value for the (internal or external) client.

The DevOps Automation Engineer adheres to the scrum values (focussed committed open respectful and courageous) and is able to closely collaborate with the team members. Knowledge sharing open communication continuous learning and commitment to deliver added value are key.

Language requirementsEnglish knowledge of another national language is a plus

EducationMaster in computer sicence or equivalent experience

CertificationRedHat Cisco and other linux and networ certifications are a positive addition to the cv

TeleworkExpectation: 50% on site in Brussels& 50% homeworking

Technical experience
At least 5 years of relevant experience
knowledge of Python development and packaging
excellent understanding of architecture (hardware OS networking databases middleware)
knowledge of code quality standards and security procedures as well as development tools
experience with integration using different technologies (distributes/mainframe) and infra components