Internship in Data Engineering & DevOps H/F

- Contribute to the development, optimization, and maintenance of our Airflow data pipelines (the backbone of our delivery infrastructure) - Participate in production reliability initiatives for high-availability environments - Support data quality processes aligned with strict medical and regulatory standards - Contribute to workflows involving ML model training, NLP on biomedical literature, and large-scale document processing - Help integrate AI/LLM APIs into existing pipeline architectures - Deploy and maintain services on AWS Elastic Kubernetes Service (EKS) - Manage containerized workloads using Docker and Kubernetes - Assist in cluster configuration, autoscaling, and namespace management - Write and maintain Terraform modules for cloud resources (VPC, IAM, RDS, S3, EKS, etc.) - Contribute to infrastructure versioning and GitOps practices - Participate in environment parity between staging and production - Maintain and improve GitLab CI/CD pipelines for data and ML services - Automate testing, validation, and deployment workflows - Improve pipeline reliability and speed through caching and parallelization strategies - Instrument services with OpenTelemetry to collect traces, metrics, and logs - Build and maintain Grafana dashboards for infrastructure and application observability - Contribute to alerting rules and incident detection processes