DevOps Engineer

Montash; Vlaanderen; Sur place; EUR 92 000 - 148 000; Plein temps

Résumé du poste

Montash is seeking a DevOps Engineer for a 6-month freelance/SOW engagement in Belgium. You will join a platform engineering team supporting ML infrastructure and bridging core infra with data science, focusing on the multi-user Jupyter environment, MLflow, and Airflow.

The role emphasizes DevOps fundamentals, with responsibilities spanning code migrations, container orchestration, CI/CD, and platform stability across Linux-based environments.

Qualifications

• Proficiency in Python, Terraform, Kubernetes, Linux, and Docker.
• Experience with infrastructure as code and containerized workloads.
• DevOps tooling and CI/CD experience is a plus.

Responsabilités

• Lead migration from Bitbucket to GitHub as a priority.
• Manage infrastructure as code using Terraform.
• Build, maintain and troubleshoot containerised workloads with Docker and Kubernetes.
• Support CI/CD pipelines, including GitHub Actions.
• Maintain multi-user ML platform (Jupyter, MLflow, Airflow).
• Work across Linux environments to keep infra stable and performant.
• Coordinate with infra, data engineering and analytics teams.
• Contribute to evolution of the ML platform as usage grows.

Connaissances

Python

Terraform

Kubernetes

Linux

Docker

Description du poste

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.