17 hours ago
Munich, GermanySenior
Responsibilities
- Design, develop, and maintain robust APIs using Flask, FastAPI, or Django.
- Implement and manage deployment, monitoring, governance, and ModelOps pipelines.
- Develop and deploy containerized applications using Docker and Kubernetes.
- Operate cloud-native platform capabilities, preferably in Microsoft Azure.
- Ensure reproducibility, traceability, and compliance throughout application lifecycle management.
- Collaborate with cross-functional teams to deliver scalable, reliable, and high-performance platform capabilities.
Requirements
- Expert-level Python development skills.
- Proven experience delivering production-grade APIs.
- Strong DevOps experience, including pipeline implementation and automation.
- Solid knowledge of Docker containerization and Kubernetes orchestration.
- Experience with ModelOps practices, tools, and frameworks.
- Experience working in cloud environments, ideally Microsoft Azure.
- Preferred experience with Azure DevOps, Azure Container Registry, Azure Key Vault, Databricks or other modern data platforms, and MLflow or similar tracking and registry tools.
- Preferred background in automated testing and deployment for complex applications.
Tech Stack
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