Cloud Platform Engineer – DevOps & Automation

GovTech Singapore

Singapore

On-site

SGD 90,000 - 150,000

Full time

11 days ago
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Job summary

GovTech Singapore invites you to join the Government Commercial Cloud (GCC) Engineering Team, building the platform that enables government agencies to deploy secure, scalable services in the cloud. You will work on API and backend automation using NodeJS and Python, while advancing secure CI/CD practices.

As part of a diverse, mission-driven team, you will participate in in-house engineering squads, advocate for DevOps principles, and contribute to automation across cloud landing zones with

Qualifications

  • Hands on API/backend development with NodeJS/Python.
  • Experience with TypeScript/JS frameworks and modern build tools.
  • Familiarity with CI/CD pipelines and deployment automation.
  • Knowledge of Infrastructure as Code and Git workflows.
  • Experience with AWS, Azure or GCP cloud platforms.

Responsibilities

  • Participate in an in-house engineering squad for dev excellence in design, development and operation of the Singapore Government Commercial Cloud Platform.
  • Lead and collaborate with development communities to deploy on Government Commercial Cloud.
  • Learn and implement large-scale automation with cloud landing zones across multiple CSPs.
  • Develop and maintain the platform used by multiple government agencies.
  • Be a subject matter expert for DevOps, contributing to automation, availability, scalability and resiliency.

Tools

Gitlab
Atlassian
Terraform
NodeJS
Python
TypeScript
CI/CD
Cloud

Job description

GovTech Singapore invites you to join the Government Commercial Cloud (GCC) Engineering Team, building the platform that enables government agencies to deploy secure, scalable services in the cloud. You will work on API and backend automation using NodeJS and Python, while advancing secure CI/CD practices.

As part of a diverse, mission-driven team, you will participate in in-house engineering squads, advocate for DevOps principles, and contribute to automation across cloud landing zones with

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