Data & ML Infrastructure Engineer
Optics11
Data & ML Infrastructure Engineer
Data & ML Infrastructure Engineer needed to own and evolve the data and ML platform for a deep-tech scale-up in Amsterdam. The role involves designing cloud-agnostic infrastructure, ensuring scalability and reliability, and bridging data science and IT teams. Requires 5+ years experience with data platforms, cloud infrastructure, Terraform, Kubernetes, and Python.
Data & ML Infrastructure Engineer
Data & ML Infrastructure Engineer needed to own and evolve the data and ML platform for a deep-tech scale-up in Amsterdam. The role involves designing cloud-agnostic infrastructure, ensuring scalability and reliability, and bridging data science and IT teams. Requires 5+ years experience with data platforms, cloud infrastructure, Terraform, Kubernetes, and Python.
Salary
Core Qualifications
Technical (Must-have)
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Design, implement, and maintain the data and ML platform infrastructure, including data ingestion, storage, processing, and training systems.
- Ensure high availability, reliability, and uptime of the platform.
- Maintain and evolve vendor-delivered platform components.
- Build and maintain data workflows, including dataset versioning, experiment tracking, and model lifecycle management.
- Enforce DevOps / MLOps practices, including CI/CD pipelines and Infrastructure-as-Code.
- Develop cloud-agnostic and containerized solutions for public and private cloud environments.
- Optimize data storage, lifecycle policies, and cost efficiency.
- Implement and maintain monitoring and alerting systems (Prometheus, Grafana).
- Ensure data governance, security, and compliance (access control, audit logging, anonymization).
- Collaborate with data scientists, ML engineers, and IT teams.
- Manage resource and cost controls.
- Contribute to documentation, operational runbooks, and onboarding materials.