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# Senior Platform Engineer

- **Company:** Scaleyo
- **Location:** Worms, Germany (Remote available)
- **Experience:** Expert
- **Salary:** €60,000.0 - €100,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Big Data, Continuous Integration, Django Web Framework, Github, Python (Programming Language), Key Management, Nginx, Prometheus, TypeScript, Workflow Management Systems, Data Processing, Data Ingestion, Cloud Monitoring, ReactJS, Grafana, Apache Spark, Backend, Fastapi, Containerization, AI Platforms, Scikit Learn, Kubernetes, Xgboost, Dask, Bicep, Machine Learning Operations, Front End Software Development, Terraform, Data Pipelines, Serverless Computing, Docker
- **Published:** August 29, 2026
- **Apply:** https://www.adzuna.de/details/5858206286

## About the Role

* 3+ years in backend or platform engineering on Azure
 * Strong expertise in Kubernetes, Docker and container orchestration
 * Proven experience with CI/CD and Infrastructure-as-Code frameworks
 * Proficient in Python; familiarity with Django or FastAPI
 * Solid knowledge of ML libraries (LightGBM, CatBoost, XGBoost, NeuralForecast) and MLflow
 * Hands-on experience with data ingestion and workflow tools (Airflow, Prefect)
 * Track record with monitoring stacks (Prometheus, Grafana)
 * Self-driven approach, clear communication in English or German
 * Founder mentality and hands-on attitude in a startup setting

Bonus Skills

 * Experience with Polars for high-performance data processing
 * Background in Spark, Ray or Dask for distributed compute
 * Familiarity with feature stores and model registries (Feast, MLflow)
 * Frontend experience with React and TypeScript served via Nginx
 * Understanding of secret management solutions (Vault, Azure Key Vault)

Vorteile

## Description

Dies ist ein Remote Job.
About Crateflow
Crateflow is a fast-growing AI startup on a mission to revolutionize inventory management and the S&OP process with data-driven decision intelligence. Our end-to-end AI platform runs on Azure, serving retailers and manufacturers worldwide. We seek a highly driven engineer who thrives in a startup environment, takes full ownership of their work and embraces a founder mentality to drive our product forward.

What You'll Do

 * Design and implement scalable backend services (Python, Django REST)
 * Containerize workloads with Docker and deploy on Kubernetes (AKS)
 * Build and maintain CI/CD pipelines (GitHub Actions or Azure DevOps) and Infrastructure-as-Code (Terraform / Bicep)
 * Develop MLOps workflows for time-series forecasting models with MLflow tracking
 * Automate data ingestion pipelines using Prefect or Airflow to replace ad-hoc scripts
 * Offload training and inference tasks to background workers or Azure Functions
 * Implement robust monitoring and alerting (Prometheus, Grafana, Azure Monitor)
 * Collaborate with data scientists on distributed model training across large datasets


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