Azure Cloud Platform Lead — DevOps, Security & FinOps

RAPSYS TECHNOLOGIES PTE LTD

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 hours ago
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Job summary

RAPSYS TECHNOLOGIES PTE LTD seeks an experienced Senior Cloud Platform Engineer to lead cloud infrastructure across sandbox, QA, UAT and production. You will design Azure-based platform capabilities and implement IaC templates for consistent provisioning.

You will drive CI/CD pipelines, enforce security controls, and support AI-enabled applications with reliable, scalable patterns. This role requires strong communication and collaboration with stakeholders.

Qualifications

  • 10+ years hands-on cloud engineering experience, with Azure in enterprise or regulated environments.
  • Deep hands-on experience with Azure services: Landing Zones, Policy, Monitor, Cost Management, Defender.
  • Extensive IaC experience using Bicep, Terraform or equivalent.
  • Strong CI/CD/GitOps experience with Azure DevOps, GitHub, ShipHATS or similar.
  • Experience enforcing DevSecOps practices and platform guardrails.
  • Identity and access engineering using Microsoft Entra ID, RBAC, PIM and CA.

Responsibilities

  • Design, build, and operate Azure-based platform capabilities for sandbox, QA, UAT and production environments.
  • Develop and maintain IaC templates for consistent provisioning.
  • Create self-service paths for product teams including templates and deployment patterns.
  • Implement CI/CD pipelines and automated quality gates; manage release processes.

Skills

Cloud infrastructure
Azure deep expertise
Security & compliance
DevOps / GitOps
AI literacy
Documentation & communication

Tools

Azure Bicep
Terraform
Azure DevOps
GitHub
ShipHATS
OpenID Connect

Job description

RAPSYS TECHNOLOGIES PTE LTD seeks an experienced Senior Cloud Platform Engineer to lead cloud infrastructure across sandbox, QA, UAT and production. You will design Azure-based platform capabilities and implement IaC templates for consistent provisioning.

You will drive CI/CD pipelines, enforce security controls, and support AI-enabled applications with reliable, scalable patterns. This role requires strong communication and collaboration with stakeholders.

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