Observability-Driven Cloud Logging & Data Platform Engineer

FPT ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

FPT ASIA PACIFIC PTE. LTD. is seeking a Logging & Data Platform Engineer to design, build, and operate the logging and operational data-platform capabilities supporting the future SSOE platform.

You will unify logs from servers, networks, applications, containers, and cloud services (AWS/Azure) across on‑prem and hybrid environments, enabling scalable ingestion, search, and analytics. Collaboration with Observability and Data Engineering teams ensures secure, resilient data pipelines and

Qualifications

• Minimum 3–5 years in cloud/platform engineering, DevOps, or related field.
• Hands-on experience with production logging, telemetry, or data-platform capabilities.
• Experience with AWS and/or Azure cloud-native services.
• Experience integrating on-premise and cloud environments, or operating systems in a hybrid environment.
• Experience with data ingestion, streaming, routing, storage, indexing, or search platforms.

Responsibilities

• Design, build, and operate logging capabilities across on-premise, cloud, and hybrid environments.
• Collect logs from servers, network devices, applications, containers, databases, and security appliances.
• Build scalable log ingestion, routing, enrichment, storage, indexing, search, and retrieval capabilities.
• Define structured logging standards, schemas, metadata, tagging, and correlation conventions.
• Design retention, archival, lifecycle, and deletion policies for operational data.
• Support correlation between logs, metrics, events, and traces.

Skills

Logging

Data platform

Cloud engineering

DevOps

SRE

Observability

AWS

Azure

Tools

CI/CD

IaC

Terraform

Kubernetes

Docker

Job description

FPT ASIA PACIFIC PTE. LTD. is seeking a Logging & Data Platform Engineer to design, build, and operate the logging and operational data-platform capabilities supporting the future SSOE platform.

You will unify logs from servers, networks, applications, containers, and cloud services (AWS/Azure) across on‑prem and hybrid environments, enabling scalable ingestion, search, and analytics. Collaboration with Observability and Data Engineering teams ensures secure, resilient data pipelines and