DevOps Engineer AI - Focus on Operations & Infrastructure (m/f/d)

2 hours ago

Bucharest, RomaniaMid Level

Responsibilities

Support the stable, secure, and reliable operation of cloud infrastructure and production Computer Vision pipelines.
Maintain and optimize existing Argo CD deployment processes and help run ETL and ML training pipelines with Argo Workflows.
Monitor system health, identify bottlenecks, and resolve technical issues using Prometheus, Loki, and Grafana.
Maintain, update, and enhance infrastructure managed with Terraform.
Provision developer VMs and support AI engineers with integrating machine learning models into production.
Collaborate with AI engineers to ensure reliable daily operations and smooth model deployment.

About 2–4 years of professional experience in DevOps, MLOps, or Data Engineering.
Hands-on experience with Docker and Kubernetes, ideally for 2+ years.
Practical Terraform experience, ideally for 1–2 years.
Practical experience with at least one of GCP, Azure, or StackIT.
Familiarity with PostgreSQL and S3 object storage.
Good programming skills in Python and a foundational understanding of AI or deep-learning workflows.
A solid foundation in software engineering and experience running and maintaining software solutions.
Proactive problem-solving, reliable execution, clean coding practices, teamwork, and willingness to learn cloud-native technologies.
Experience with Argo CD or Argo Workflows is advantageous.
Exposure to PyTorch or MLOps frameworks such as MLflow or Kubeflow is a plus.

11-50 employees