GCP Cloud Engineer: Scalable Data Platform & ML Workloads

ENCORA TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ENCORA TECHNOLOGIES PTE. LTD. is seeking a Cloud Engineer in Singapore to help build a hybrid cloud data platform. You will work on scalable data collection, processing, and AI/ML support in the cloud, collaborating with architects to implement best practices in backend infrastructure.

You will design and operate GCP-based production workloads, leverage IaC tools, containerization, and modern data processing frameworks. A strong focus on security and reliability is essential.

Qualifications

• , must have hands-on GCP experience and capable of architecting production workloads (GCP)
• - proficient with infrastructure-as-code to automate provisioning in GCP
• - experience with containers and orchestration (Kubernetes, Docker) in GCP
• - familiarity with data engineering stacks and batch/stream processing
• - strong security controls in cloud environments and incident handling
• - associate or specialist GCP certification preferred

Responsibilities

• Design, implement and operate scalable data collection and analysis systems in the cloud.
• Work with analytics architects to adopt cloud-native patterns for ML workloads.
• Contribute to CI/CD pipelines and automation for reliability and security.
• Continuously evaluate new cloud technologies to maximize performance.

Skills

GCP expertise

Terraform

Kubernetes

BigQuery

Dataproc

Spark

Avro/Parquet

Cloud security

CI/CD

OpenTelemetry

Tools

GKE

Dataproc

BigQuery

Docker

Jira

Confluence

Job description

ENCORA TECHNOLOGIES PTE. LTD. is seeking a Cloud Engineer in Singapore to help build a hybrid cloud data platform. You will work on scalable data collection, processing, and AI/ML support in the cloud, collaborating with architects to implement best practices in backend infrastructure.

You will design and operate GCP-based production workloads, leverage IaC tools, containerization, and modern data processing frameworks. A strong focus on security and reliability is essential.