Acuity Analytics
Senior Platform Engineer
Senior Platform Engineer bei Acuity Analytics in München. Die Rolle umfasst Design, Aufbau und Optimierung einer modernen Plattform auf Databricks mit Fokus auf Python, DevOps und ModelOps.
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Job description
About Us
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the role
We are seeking an experienced Senior Platform Engineer with 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
- Expert-level Python development skills.
- Proven experience delivering production-grade APIs.
- 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.
Why join us
People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details.
