Cloud Data Platform Engineer

Job Description

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

Qualifications

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

AWS | SageMaker | Prometheus | Grafana | CloudWatch | Terraform | Python | Kubernetes | Docker | CI/CD

Nice-to-Have

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

Additional Information

Why Join NCS

• Lead high-impact AI management consulting programs for major enterprises and public sector clients.

• Shape enterprise strategies and governance frameworks that drive real transformation.

• Work with a talented, multidisciplinary team in a collaborative environment.

• Competitive compensation and strong professional development support.

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 reachus@ncs.com.sg.