Job Description
We are seeking a hands-on Senior Cloud DataOps & MLOps Engineer to build, manage, and optimize modern AWS-based cloud, monitoring, and ML platform environments. The role focuses on enabling scalable observability, centralized monitoring, cloud automation, and MLOps capabilities using AWS services and enterprise monitoring tools.
The ideal candidate will have strong experience in AWS cloud engineering, monitoring platforms, infrastructure automation, and production support within enterprise environments. Key Responsibilities Design, implement, and manage AWS cloud infrastructure and operational platforms Configure and support Amazon SageMaker environments for ML platform enablement Implement centralized monitoring, metrics, and alerting using Prometheus and Grafana Build and maintain logging and observability pipelines across AWS services and applications Develop operational dashboards, monitoring standards, and alerting frameworks Support Infrastructure-as-Code (IaC) and CI/CD autom...
The ideal candidate will have strong experience in AWS cloud engineering, monitoring platforms, infrastructure automation, and production support within enterprise environments. Key Responsibilities Design, implement, and manage AWS cloud infrastructure and operational platforms Configure and support Amazon SageMaker environments for ML platform enablement Implement centralized monitoring, metrics, and alerting using Prometheus and Grafana Build and maintain logging and observability pipelines across AWS services and applications Develop operational dashboards, monitoring standards, and alerting frameworks Support Infrastructure-as-Code (IaC) and CI/CD autom...
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