Data Engineer (Cloud Data Platform Engineer)
On-site · Singapore, Singapore
Job Summary
Senior Cloud DataOps & MLOps Engineer to design and operate an AWS-based monitoring and ML platform. Responsibilities include configuring and managing Amazon SageMaker, setting up centralized monitoring and observability with Prometheus and Grafana, building logging and metrics pipelines across AWS services, supporting platform automation with Infrastructure-as-Code and CI/CD pipelines, and collaborating with application, data, and platform teams to improve reliability and operational visibility. The role requires hands-on AWS cloud experience, familiarity with IAM, VPC, EC2, S3, CloudWatch, ECS/EKS, Terraform or CloudFormation, Python or Bash scripting, and experience with monitoring/logging architectures and SageMaker/MLOps platforms. Nice-to-have items include Kubernetes/EKS, OpenTelemetry, additional CI/CD experience, and data/platform engineering background.
Required Qualifications
- Strong hands-on AWS cloud experience
- Experience with Prometheus
- Grafana
- SageMaker or MLOps
- IaC (Terraform, CloudFormation)
- Python or Bash scripting
- Production cloud environments
- Experience with logging/monitoring pipelines
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