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

全职 Cloud Engineer 工作, 薪水, RiDiK (a Subsidiary Of CLPS. Nasdaq: CLPS) 公司招聘中 - Ricebowl

Cloud Engineer

RiDiK (a Subsidiary Of CLPS. Nasdaq: CLPS)

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Role: Senior Cloud Platform Engineer

Location: Singapore

Year of experience- 10+ Years



Required Skills and Experienc


e
• 10+ years of hands-on engineering experience, including significant experience designing, building, managing and operating cloud infrastructure on Microsoft Azure in enterprise or regulated environment


s.
• 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 Manageme


nt.
• Hands-on experience operating in Government Commercial Cloud (GCC) environments, including working within government cloud governance, security, compliance, identity, network and operational contr


ols.
• Extensive hands-on experience with infrastructure-as-code, automated provisioning and configuration management using Azure Bicep, Terraform or equivalent t


ools.
• 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 co


ntrols.
• Strong hands-on experience in identity and access engineering using Microsoft Entra ID, RBAC, Conditional Access, PIM, access reviews and least-privilege access gov


ernance.
• 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 prod


uctivity.
• 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 app


lications.
• Strong documentation and communication skills, with the ability to explain technical concepts to both engineering and non-technical st


akeholders.
• Comfortable working in an agile, product-oriented environment where platform capabilities are built incrementally and improved through adopti


on feedback.

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