Senior Platform Engineer

We are seeking an experienced
Senior Platform Engineer
with deep expertise in Python development, Dev Ops, and Model Ops. 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 Model Ops 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.

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

• Hands-on experience with Azure Dev Ops, Azure Container Registry, and Azure Key Vault.
• Experience with Databricks or other modern data platforms.
• Background in CI/CD and Model Ops 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@acuity analytics.

For more details about Acuity Analytics please see here:
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