Cloud Logging & Data Platform Engineer

Activate Interactive Pte Ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Flexible work arrangement

Year-round wellness initiatives

Certification support

Job summary

Activate Interactive Pte Ltd invites a Data Engineer (Cloud Logging & Data Platform) to design, build, and operate logging and data-platform capabilities supporting MOE’s SSOE platform. You will handle logging, telemetry ingestion, data movement, storage, search, and platform integration across on‑prem, GCC, AWS, Azure, and hybrid environments.

The role requires expertise in traditional infrastructure and cloud-native architectures, plus collaboration with Observability and Data Engineering

Qualifications

• Experience in cloud engineering, platform engineering, DevOps or SRE.
• Hands-on experience with production logging, telemetry, or data-platform capabilities.
• Proficiency with AWS and/or Azure cloud services.
• Experience integrating on‑premise and cloud environments, or hybrid environments.

Responsibilities

• Design, build, and operate logging, data movement, and data-platform capabilities across on-premise and cloud environments.
• Work with telemetry requirements and data-platform integration patterns.
• Ensure secure, scalable, and observable logging pipelines and data platforms.

Skills

Cloud engineering

Platform engineering

DevOps

SRE

Logging engineering

Data platform engineering

AWS

Azure

OpenTelemetry

CI/CD

Terraform

GitLab CI/CD

Docker

Kubernetes

Tools

Terraform

OpenTofu

Ansible

GitLab CI/CD

Docker

Kubernetes

Python

Job description

Activate Interactive Pte Ltd invites a Data Engineer (Cloud Logging & Data Platform) to design, build, and operate logging and data-platform capabilities supporting MOE’s SSOE platform. You will handle logging, telemetry ingestion, data movement, storage, search, and platform integration across on‑prem, GCC, AWS, Azure, and hybrid environments.

The role requires expertise in traditional infrastructure and cloud-native architectures, plus collaboration with Observability and Data Engineering