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Open nowPosted today

GCP Cloud Automation Engineer

MyCareersFuture97,045 open roles

Pay
SGD 5,500 – SGD 9,000 a month
Where
Singapore
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Your applicationOpen nowGCP Cloud Automation EngineerMyCareersFuture · Singapore
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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 3 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 3 days open

The posting

GCP Cloud Automation Engineer

We are looking for a hands-on GCP Cloud Automation Engineer to build and enhance automation capabilities across our Google Cloud Platform environment.

This role will focus on cloud platform automation, self-service enablement, observability, reliability, and operational excellence, with the goal of improving scalability and reducing manual operational effort.

Key Responsibilities

  • Develop and maintain automation solutions for GCP platform operations.
  • Build self-service capabilities for application onboarding and infrastructure provisioning.
  • Automate deployment, operational, monitoring, and support workflows.
  • Design and enhance observability, alerting, logging, and operational dashboards.
  • Improve platform reliability, resiliency, scalability, and operational readiness.
  • Support and troubleshoot GKE / Kubernetes-based platforms.
  • Develop reusable infrastructure automation using Infrastructure as Code.
  • Support CI/CD and deployment automation across cloud environments.
  • Work closely with platform, application, security, and infrastructure teams to deliver scalable cloud solutions.
  • Support cloud incident management, troubleshooting, root cause analysis, and continuous improvement initiatives.

Requirements

  • 7+ years of hands-on experience with Google Cloud Platform (GCP).
  • Strong scripting and automation experience using Python, Bash, or similar languages.
  • Strong experience with Terraform or other Infrastructure as Code tools.
  • Hands-on experience administering and troubleshooting Kubernetes / GKE environments.
  • Experience building and maintaining CI/CD pipelines and deployment automation.
  • Strong understanding of cloud monitoring, logging, observability, and alerting.
  • Good knowledge of cloud operations, incident management, reliability, and production support practices.
  • Strong troubleshooting and problem-solving skills.
  • Able to work effectively with technical and business stakeholders.

Registration No.: R25156061

EA No.: 11C3373

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