About this role
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 SageMakerImplementing centralized monitoring and observability using Prometheus and GrafanaBuilding logging and metrics pipelines across AWS applications and servicesSupporting cloud platform automation, operational monitoring and MLOps enablementThe 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 platformsConfigure and manage Amazon SageMaker environmentsSet up centralized monitoring, metrics and alerting using Prometheus and GrafanaBuild logging and observability pipelines across applications and AWS servicesDevelop dashboards, alerts and operational monitoring standardsSupport platform automation using Infrastructure-as-Code and CI/CD pipelinesWork closely with application, data and platform teams to improve reliability and operational visibilityTroubleshoot production issues and optimize cloud platform performance Required Skills & Experience
Mandatory
Strong hands-on AWS cloud experienceGood understanding of:IAMVPCEC2S3CloudWatchECS / EKSSecurity and networking fundamentalsExperience with:PrometheusGrafanaMonitoring and observability platformsCentralized logging architecturesExperience with Amazon SageMaker or MLOps platformsExperience with Terraform, CloudFormation or similar IaC toolsScripting experience in Python or BashExperience supporting production cloud environmentsPreferred
Kubernetes / EKS experienceOpenTelemetry experienceCI/CD pipeline implementationDataOps or platform engineering backgroundAWS certificationsIdeal Candidate
We are looking for someone who is:
Hands-on and technically strongComfortable working in enterprise cloud environmentsStrong in troubleshooting and operational supportProactive and able to work independentlyAble to communicate effectively with technical and business stakeholdersTechnology Environment
AWS | SageMaker | Prometheus | Grafana | CloudWatch | Terraform | Python | Kubernetes | Docker | CI/CD
Nice-to-Have
Experience supporting AI/ML platformsExperience with enterprise observability frameworksMulti-account AWS environment experienceFinOps or cloud governance exposure 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
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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].