DevOps Engineer
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DevOps Engineer
Type: Freelance / (Statement of Work)
Duration: 6 months - fixed term
Start Date: 1st September
About the Role
You'll join a platform engineering team supporting machine learning infrastructure for a major Belgian organisation. The team acts as the bridge between the core infrastructure function and data scientists, owning the multi-user Jupyter environment, MLflow, and Airflow that the data science community relies on day to day. This is a DevOps-leaning role rather than a data science one, so infrastructure fundamentals matter more than a data background.
Key Responsibilities
- Lead and execute the migration from Bitbucket to GitHub, one of the team's most time-sensitive priorities
- Manage and evolve infrastructure as code using Terraform
- Build, maintain and troubleshoot containerised workloads across Docker and Kubernetes
- Support and improve CI/CD pipelines, including GitHub Actions
- Maintain and optimise the multi-user Jupyter, MLflow and Airflow platform
- Work across Linux-based environments to keep infrastructure stable and performant
- Coordinate closely with infrastructure, data engineering, and data analytics teams to align on platform needs
- Contribute to the ongoing evolution of the ML platform as usage and scale grow
Required Skills
- Must-have: Python, Terraform, Kubernetes, Linux, hands-on containerisation experience (Docker)
- Nice-to-have: GitHub Actions, MLflow, Airflow, prior Bitbucket-to-GitHub migration experience
Interview Process
Fast-moving process. Start date can land the week after final interviews.