Data Engineer (Cloud Data Platform Engineer) at ncs3 – Singapore | Jobyssey

Senior Cloud DataOps & MLOps Engineer (AWS, SageMaker, Prometheus, Grafana)
Overview

We are looking for a hands-on Cloud DataOps & MLOps Engineer to help build and operate a modern AWS-based monitoring and ML platform environment.

This role will focus on:

Setting up and managing Amazon SageMaker
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 should have a strong cloud engineering foundation and practical experience operating enterprise AWS environments.

Key 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 closely with application, data and platform teams to improve reliability and operational visibility
Troubleshoot production issues and optimize cloud platform performance

Required Skills & Experience

Mandatory

Strong hands-on AWS cloud experience
Good understanding of:
- IAM
- VPC
- EC2
- S3
- CloudWatch
- ECS / EKS
- Security and 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 experience in Python or Bash
Experience supporting production cloud environments

Preferred

Kubernetes / EKS experience
OpenTelemetry experience
CI/CD pipeline implementation
DataOps or platform engineering background
AWS certifications

Ideal Candidate

We are looking for someone who is:

Hands-on and technically strong
Comfortable working in enterprise cloud environments
Strong in troubleshooting and operational support
Proactive and able to work independently
Able to communicate effectively with technical and business stakeholders

Technology Environment

Nice-to-Have

Experience supporting AI/ML platforms
Experience with enterprise observability frameworks
Multi-account AWS environment experience
FinOps or cloud governance exposure

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.

Scam Alert

We are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.

Please note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. When in doubt, verify the sender’s identity by contacting us at [email protected].

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