Job
- Level
- Senior
- Location
- Munich
- Working Model
- Onsite
- Job Field
- IT, Application, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will build a modern platform on Databricks, implement robust APIs, manage CI/CD pipelines, and deploy containerized applications in cloud-native environments, primarily Azure.
Job Technologies
Your role in the team
- As a Senior Platform Engineer (M/F/X), you are responsible for building, developing, and operating a modern platform on Databricks—with a focus on robust deployment, monitoring, and governance of applications and services.
- You combine software engineering, cloud-native architecture, and operational excellence, working closely with cross-functional teams to deliver scalable, reliable, and high-performance platform capabilities.
- Design, development, and maintenance of robust APIs with frameworks such as Flask, FastAPI, or Django.
- Implementation and management of CI/CD and ModelOps pipelines for efficient deployment, monitoring, and governance.
- Development and deployment of containerized applications with Docker and Kubernetes.
- Operation in a cloud-native environment (preferably Azure) for deploying secure and scalable solutions.
- Ensuring reproducibility, traceability, and compliance in Application Lifecycle Management.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Expert-level knowledge in Python development.
- Strong DevOps background, including CI/CD implementation and automation.
- Solid knowledge of containerization (Docker) and orchestration (Kubernetes).
- Strong German and English skills.
- Advantages would be:
- Knowledge of CI/CD and ModelOps for complex applications, including automated testing and deployments.
- Familiarity with MLflow or similar tools for tracking, registry, and reproducibility.
Experience
- Proven experience in delivering production-ready APIs.
- Experience with ModelOps practices, tools, and frameworks.
- Experience in cloud environments, ideally Microsoft Azure.
- Practical experience with Azure DevOps, Azure Container Registry, and Azure Key Vault.
- Experience with Databricks or other modern data platforms.
This text has been machine translated. Show original
Topics You Will Work On
Job Locations
About Your Employer
Nacuity Analytics
Acuity Analytics is an internationally operating company that provides research, data, and analytical services for the financial sector and business clients. By combining industry expertise with engineering, digital, and AI competencies, the company supports data-driven decision-making. It employs a global team at various locations to serve clients worldwide.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Banking, Finance, Insurance
Senior Cloud and Platform Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
