Cloud Engineer (GCP, BigQuery, TypeScript)
Company: Zylun Philippines, Inc.
Location: Negros Occidental, Philippines
Work arrangement: Remote possible
Employment type: Other
Experience: 2-5 years
Posted: 2026-10-27
Responsibilities
The Cloud Engineer will own the data collection engine, focusing on writing Node.js logic to interact with GCP APIs at scale. They are responsible for managing nightly extraction processes and ensuring infrastructure is version-controlled via Terraform.
Requirements
Candidates must have deep familiarity with the GCP ecosystem, BigQuery, and expertise in building production-ready TypeScript applications. Experience with containerization, ETL processes, and infrastructure as code is highly valued.
Skills
- Google Cloud Platform
- BigQuery
- TypeScript
- Node.js
- Terraform
- Docker
- ETL
- Cloud Architecture
- API Integration
- Infrastructure as Code
- Cloud Logging
- Gemini Enterprise
- IAM
- Service Account Management
- Backend Development
- Batch Processing
About this role
Overview
We are looking for a Cloud Engineer to own the data collection engine. This role focuses on the "heavy lifting"—writing the Node.js logic using Typescript that interacts with GCP APIs at scale, managing the containerized environment, and ensuring our infrastructure is version-controlled via Terraform.
Responsibilities
You will be responsible for the nightly extraction processes that pull environment data from a diverse array of client GCP projects into our central BigQuery warehouse. This is a role for an engineer who loves working with APIs, cloud architecture, and automated deployments.
Qualifications
Required Skills:
GCP Ecosystem: Deep familiarity with GCPInfrastructure and APIs○ Gemini Enterprise○ Monitoring / Cloud Logging
BigQuery: Understanding of how to structure and load data into BigQuery for downstream consumption.
Typescript: Expertise in SOLID principles and building production ready Typescript.
Additional nice to have skills:
GCP Ecosystem:○ Agent Registry○ Cloud Run Jobs○ Cloud Run Functions○ Cloud Workflows
Data Pipelines: Experience with create ETL processes
Node.js: Expertise in building enterprise-grade backend services and batch processing.
Docker: Experience containerizing Node.js applications for production cloud environments.
Terraform: Proven experience managing cloud infrastructure through IaC.
Security: Familiarity with GCP IAM roles and service account management for secure multi-tenant data access.
Required Skills
Google Cloud Platform (GCP) (3), Google BigQuery (2), TypeScript (2)
Years of Experience Needed
3