Senior Platform Engineer

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. 
 

• →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.

• 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.

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

For more details about Acuity Analytics please see here: Read here.