Senior Platform Engineer

Ascent Software; München; Vor Ort; Vollzeit

Jobbeschreibung

We are seeking an experiencedSenior Platform Engineerwith deep expertise in Python development, DevOps, and ModelOps. You will be responsible for designing, building, and optimizing a modern platform on Databricks, ensuring robust deployment, monitoring, and governance of applications and services. This role blends software engineering, cloud-native architecture, and operational excellence in managing application lifecycle processes. You will collaborate with cross-functional teams to deliver scalable, reliable, and high-performance platform capabilities.

Key Responsibilities

• Design, develop, and maintain robust APIs using frameworks such as Flask, FastAPI, or Django.
• Implement and manage CI/CD and ModelOps pipelines for streamlined deployment, monitoring, and governance.
• Develop and deploy containerized applications using Docker and Kubernetes.
• Operate within a cloud-native environment (preferably Azure) to deliver secure and scalable solutions.
• Ensure reproducibility, traceability, and compliance in application lifecycle management.

Required Skills & Experience

• Strong DevOps background, including CI/CD implementation and automation.
• Solid knowledge of containerization (Docker) and orchestration (Kubernetes).
• Experience with ModelOps practices, tools, and frameworks.
• Experience in cloud environments, ideally Microsoft Azure.

Nice to Have

• Hands-on experience with Azure DevOps, Azure Container Registry, and Azure Key Vault.
• Experience with Databricks or other modern data platforms.
• Background in CI/CD and ModelOps for complex applications, including automated testing and deployment.
• Familiarity with MLflow or similar tools for tracking, registry, and reproducibility.

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

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