Senior Developer (w/d/m) Cloud & Automation

This position is partially suitable.

EWE NETZ develops backend services and automation solutions that are effective every day - together with our Data‐Science team, you bring AI models into production: with clean code, modern cloud technologies and measurable impact.

Your mission: Scalability, quality and automation - you build services that run reliably, can be operated safely and significantly relieve our teams. You think architecture, costs and security from the start.

Your post: Microservices: You develop high-performance backend services in Python for automation, data processing and deployment of ML workloads

APIs: You design and implement REST APIs

Cloud deployments: You implement services securely and efficiently in AWS, Azure or Kubernetes - including containers, CI/CD and Infrastructure as Code

DevOps: Operation and Monitoring

ML-Production: You work closely with Data Science and provide models as scalable services (MLOps features included)

Data integration: You bindest Snowflake and other data sources

Interface role: You act as a bridge between IT, Data Science and Enterprise Architecture and shapes resilient solutions

Your profile: Degree: You have successfully completed a degree in computer science or a comparable qualification

Experience: You bring together Python practice for several years and take over Code Responsibility

Architectural know-how: You know about cloud architectures (AWS/Azure) and you know how to use the various services

Web-Frameworks: You have experience with FastAPI, Flask or Django

CI/CD: You know common pipelines (GitHub Actions, GitLab CI, Azure DevOps) and put them on pragmatically

Container: You work routiniert with Docker and Container deployments

Databases: You master SQL and use relational databases

Language knowledge: German on C1 level is required for the role

Advantages: Data Warehouses: You bring experience in distributed data processes, ideally with Snowflake (Snowpark)

Kubernetes: You have solid foundations in cluster operation

Languages: You can also work with Go, TypeScript or Java

MLOps: You are interested in robust ML life cycles and their automation

How you work: Hands‐on: You pack, deliver reliably and learn quickly

Teamplay: You communicate clearly, share knowledge and actively seek exchange

Responsibility: You recognize needs, meet decisions and drive solutions forward

We offer: Design space: Counting your ideas - not just your code

Individual setup: You choose your working environment - Windows or macOS

Flexibility: You benefit from sliding time, mobile work and real work-life balance

Development: You receive training and growth in the high-performance team

Fair remuneration: You work in a safe, innovative environment with attractive payment

Apply directly to our online button with your meaningful application documents, specifying your salary presentation, the 4938 and the earliest possible date.

We are happy to meet you!

We rely on diversity and reject discrimination. For us it is important that you fit us as a human being. All that matters is you! !