AWS Cloud DataOps & MLOps Engineer

NCS; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NCS is seeking a hands-on Cloud DataOps & MLOps Engineer to build and operate a modern AWS-based monitoring and ML platform environment in Singapore. This role focuses on setting up and managing Amazon SageMaker environments, implementing centralized observability with Prometheus and Grafana, and building logging and metrics pipelines across AWS services.

The role requires strong cloud engineering fundamentals, scripting in Python or Bash, IaC experience (Terraform/CloudFormation), and

Qualifications

• Strong hands-on AWS cloud experience.
• Good understanding of IAM, VPC, EC2, S3, CloudWatch, ECS/EKS, security & networking fundamentals.
• Experience with Prometheus, Grafana, monitoring and observability platforms, centralized logging architectures.
• Experience with Amazon SageMaker or MLOps platforms.
• Experience with Terraform, CloudFormation or similar IaC tools.
• Scripting in Python or Bash; experience supporting production cloud environments.

Responsibilities

• Design and implement AWS cloud infrastructure and operational platforms.
• Configure and manage Amazon SageMaker environments.
• Set up centralized monitoring, metrics and alerting using Prometheus and Grafana.
• Build logging and observability pipelines across applications and AWS services.
• Develop dashboards, alerts and operational monitoring standards.
• Support platform automation using Infrastructure-as-Code and CI/CD pipelines.
• Work with application, data and platform teams to improve reliability and visibility.
• Troubleshoot production issues and optimize cloud platform performance.

Skills

AWS cloud experience

SageMaker

Prometheus

Grafana

Observability

CI/CD

IaC

Python/Bash

Security fundamentals

Troubleshooting

Tools

Terraform

CloudFormation

SageMaker

Job description

NCS is seeking a hands-on Cloud DataOps & MLOps Engineer to build and operate a modern AWS-based monitoring and ML platform environment in Singapore. This role focuses on setting up and managing Amazon SageMaker environments, implementing centralized observability with Prometheus and Grafana, and building logging and metrics pipelines across AWS services.

The role requires strong cloud engineering fundamentals, scripting in Python or Bash, IaC experience (Terraform/CloudFormation), and