Cloud Data Platform Engineer: AWS ML & Observability

Overview:: We are seeking a hands-on
Cloud Data Platform Engineer
to help build and operate a modern AWS-based monitoring and machine learning platform environment. In this role, you will bridge the gap between data operations, machine learning, and cloud infrastructure to enable scalable, observable, and reliable systems. Key focus areas include:: Setting up and managing Amazon SageMaker environments Implementing centralized monitoring and observability using Prometheus and Grafana Building logging and metrics pipelines across AWS applications and services Supporting cloud platform automation, operational monitoring, and MLOps enablement The ideal candidate will have a strong cloud engineering foundation and practical experience operating enterprise-scale AWS environments. Key Responsibilities:: Design and implement AWS cloud infrastructure and operational platforms Configure and manage Amazon SageMaker environments to support ML workflows Set up centralized monitoring, metrics ...