GCP Cloud Engineer: Data Platform & AI Ops

re-zoo-me; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

re-zoo-me is seeking a Cloud Engineer to join our engineering team and help build a hybrid cloud data platform handling petabytes of data in the cloud. You will work with data scientists and ML workloads, designing scalable data ingestion and analysis components.

You will deploy and operate GCP infrastructure, embrace Terraform and container orchestration, and drive CI/CD with a strong emphasis on security and observability within a hybrid cloud environment.

Qualifications

• Experience deploying and managing GCP infrastructure and data services.
• Proficient with Terraform for automating provisioning in GCP.
• Experience with Kubernetes, Docker, and serverless architectures in GCP.

Responsibilities

• Design, implement, and operate scalable distributed data ingestion and analysis systems in the cloud.
• Collaborate with analytics system architects and promote best practices in backend infrastructure and distributed computing.
• Apply Agile practices, CI/CD, and cloud-native patterns with TDD.
• Evaluate new cloud technologies to maximize performance of analytical systems.

Tools

Terraform

Kubernetes

Docker

GKE

Dataproc

BigQuery

Spark

Avro

Parquet

OpenTelemetry

Git

Jira

Confluence

MySQL

PostgreSQL

GCP

Job description

re-zoo-me is seeking a Cloud Engineer to join our engineering team and help build a hybrid cloud data platform handling petabytes of data in the cloud. You will work with data scientists and ML workloads, designing scalable data ingestion and analysis components.

You will deploy and operate GCP infrastructure, embrace Terraform and container orchestration, and drive CI/CD with a strong emphasis on security and observability within a hybrid cloud environment.