Senior Platform Engineer
Scaleyo
Worms, Germany
8 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
€60,000.0 - €100,000.0
Working hours
Regular working hours
Languages
English, German
Job source
Tech stack
Artificial Intelligence
Airflow
Microsoft Azure
Big Data
Continuous Integration
Django Web Framework
Github
Python (Programming Language)
Key Management
Nginx
Prometheus
TypeScript
+22 more
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
Job 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
Requirements
- 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
Benefits & conditions
- Competitive salary (€60,000-€100,000) depending on your skillset
- You shape the product, the stack, and the outcomes
- High leverage environment with fast data-driven decision making”
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