jobs in RiDiK (a Subsidiary Of CLPS. Nasdaq: CLPS)

Full Time Senior Cloud Platform Engineer Jobs, in RiDiK (a Subsidiary Of CLPS. Nasdaq: CLPS) - Maukerja

Senior Cloud Platform Engineer

RiDiK (a Subsidiary Of CLPS. Nasdaq: CLPS)

Undisclosed

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

Senior Cloud Platform Engineer, Digital Factory Platform


Role Type: Platform Engineering / Cloud Engineering / DevSecOps


Location: Singapore


Required Skills and Experience

  • 10+ years of hands-on engineering experience, including significant experience designing, building, managing and operating cloud infrastructure on Microsoft Azure in enterprise or regulated environments.
  • Deep hands-on experience with Azure platform services such as Azure Landing Zones, Azure Policy, Azure Container Apps, Azure App Service, API Management, Azure Monitor, Log Analytics, Defender for Cloud and Azure Cost Management.
  • Hands-on experience operating in Government Commercial Cloud (GCC) environments, including working within government cloud governance, security, compliance, identity, network and operational controls.
  • Extensive hands-on experience with infrastructure-as-code, automated provisioning and configuration management using Azure Bicep, Terraform or equivalent tools.
  • Extensive experience designing and operating CI/CD and GitOps pipelines using Azure DevOps, GitHub, ShipHATS or similar platforms, including automated build, test, security scanning, deployment promotion, rollback and release quality gates.
  • Strong hands-on experience applying DevSecOps practices and implementing platform guardrails, including secure software delivery, automated quality checks, secrets management, vulnerability scanning, policy-as-code and compliance controls.
  • Strong hands-on experience in identity and access engineering using Microsoft Entra ID, RBAC, Conditional Access, PIM, access reviews and least-privilege access governance.
  • Practical AI literacy and experience using AI-assisted development tools such as Claude, GitHub Copilot, Microsoft Copilot or equivalent tools to improve software delivery, code quality, documentation, testing or developer productivity.
  • Experience integrating, securing and operating AI/ML platform services on Azure, including access controls, network security, service configuration, monitoring and production-readiness controls for AI-enabled applications.
  • Working knowledge of Active Directory and enterprise identity integration concepts, including directory services, group-based access, authentication flows and hybrid identity considerations.
  • Working knowledge of modern authentication and authorization standards, including SAML, OpenID Connect, OAuth 2.0, JWT and related enterprise application integration patterns.
  • Working knowledge of containerization, APIs, cloud-native application patterns and production-readiness practices.
  • Experience supporting at least one production cloud-native application or shared platform capability, with responsibility for reliability, monitoring, deployment or operational support.
  • Ability to translate platform architecture into reusable engineering patterns, templates, developer self-service capabilities and platform services that product teams can consume with minimal friction.
  • Strong documentation and communication skills, with the ability to explain technical concepts to both engineering and non-technical stakeholders.
  • Comfortable working in an agile, product-oriented environment where platform capabilities are built incrementally and improved through adoption feedback.

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