- Outram Central Region (Singapore) Singapore
Cmc-apac Private Limited Hiring! Full Time Senior Cloud Platform Engineer – Digital Factory Platform in Central Region (Singapore), Earn up to SGD 8,000 - Ricebowl
Senior Cloud Platform Engineer – Digital Factory Platform
Cmc-apac Private Limited
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Job Description
Responsibilities
About the Role
We are looking for a hands-on
Senior Cloud Platform Engineer
with practical AI literacy to help build and scale our Client’s
Digital Factory Platform on Microsoft Azure
.
The platform provides a self-service, governed, and automation-led foundation that enables product teams to move digital products and AI experiments from sandbox to production faster, securely, and with clear accountability.
The role will focus on reusable platform capabilities across
Azure infrastructure, Infrastructure as Code, CI/CD, DevSecOps, identity and access, observability, FinOps, compliance automation, AI application hardening, and developer self-service
.
Key Responsibilities
Design, build, and operate
Azure platform capabilities
across sandbox, QA, UAT, and production environments.
Develop reusable
Infrastructure as Code (IaC)
using Azure Bicep, Terraform, or equivalent tools.
Build self-service
golden paths
for environment provisioning, application templates, deployments, access requests, and approved developer tooling.
Design and maintain CI/CD pipelines using
Azure DevOps, GitHub, ShipHATS
, or equivalent platforms.
Embed security and compliance controls through
policy-as-code, automated security checks, quality gates, and platform guardrails
.
Harden AI-generated and experimental applications into production-ready MVPs through secure architecture, containerisation, API management, monitoring, and deployment standards.
Implement identity and access controls using
Microsoft Entra ID, RBAC, Privileged Identity Management (PIM), Conditional Access, and least-privilege practices
.
Develop observability capabilities using
Azure Monitor, Log Analytics, dashboards, alerts, and platform health metrics
.
Support
FinOps and TCO transparency
through tagging, budget alerts, cost allocation, token-cost tracking, and showback reporting.
Secure and operate Azure-based
AI/ML platform services
, including access controls, networking, monitoring, and production-readiness controls.
Collaborate with developers, Product Owners, Security, Audit, Finance, and leadership stakeholders to ensure platform capabilities meet business and governance requirements.
Develop reusable engineering patterns, templates, operating procedures, and platform documentation.
Continuously improve platform capabilities based on adoption, operational metrics, and product-team feedback.
Required Skills & Experience
10+ years of hands-on engineering experience
, with significant experience designing, building, managing, and operating Microsoft Azure infrastructure in enterprise or regulated environments.
Strong hands-on experience with
Azure Landing Zones, Azure Policy, Azure Container Apps, App Service, API Management, Azure Monitor, Log Analytics, Defender for Cloud, and Azure Cost Management
.
Hands-on experience operating within
Government Commercial Cloud (GCC)
environments, including government security, compliance, identity, networking, governance, and operational controls.
Extensive experience with
Azure Bicep, Terraform
, or equivalent IaC and automated provisioning technologies.
Extensive experience designing and operating
CI/CD and GitOps pipelines
using Azure DevOps, GitHub, ShipHATS, or similar platforms.
Strong
DevSecOps
experience, including security scanning, secrets management, vulnerability management, policy-as-code, automated quality checks, compliance controls, deployment promotion, and rollback.
Strong identity and access engineering experience with
Microsoft Entra ID, RBAC, Conditional Access, PIM, access reviews, and least-privilege governance
.
Working knowledge of
Active Directory and hybrid identity
, including directory services, authentication flows, and group-based access.
Understanding of authentication and authorisation standards, including
SAML, OpenID Connect, OAuth 2.0, and JWT
.
Practical experience with
containerisation, APIs, cloud-native architecture, and production-readiness practices
.
Experience supporting at least one production cloud-native application or shared platform capability, including deployment, reliability, monitoring, or operational support.
Experience integrating, securing, and operating
AI/ML services on Azure
.
Practical AI literacy and experience with AI-assisted development tools such as
GitHub Copilot, Microsoft Copilot, Claude
, or equivalent.
Ability to translate platform architecture into reusable templates, engineering patterns, self-service workflows, and developer platform capabilities.
Strong documentation, communication, and stakeholder management skills.
Experience working in
Agile and product-oriented engineering environments
.
Preferred Skills
Experience with
Azure OpenAI, Microsoft Fabric, Synapse, AI application platforms, data products, or AI governance
.
Experience developing
internal developer platforms, developer portals, platform APIs, self-service workflows, or golden-path templates
.
Experience in public-sector, government, or other regulated cloud environments.
Knowledge of
SRE, observability, Microsoft Sentinel, incident response automation, alert routing, and service-health dashboards
.
Understanding of
FinOps, cloud cost optimisation, TCO modelling, showback, and cost accountability
.
Familiarity with Jira, Confluence, GitHub, Azure DevOps, ShipHATS, Copilot, and similar engineering productivity tools.
Ideal Candidate
The ideal candidate is a practical senior platform engineer who can turn cloud architecture into
secure, reusable, automated platform capabilities
.
You should be comfortable building Azure services, automating infrastructure and delivery pipelines, implementing security and compliance guardrails, and creating self-service capabilities that allow development teams to work faster with less operational friction.
You should also understand how to support
AI-enabled applications in production
and use AI-assisted engineering tools responsibly while maintaining security, reliability, governance, and accountability.
Why Join Us
This is an opportunity to help shape a strategic
Digital Factory Platform
that modernises how digital products and AI solutions are built and operated.
The role will directly contribute to improving
developer productivity, cloud governance, security, automation, cost transparency, and the responsible adoption of AI
across the organisation.
Company Overview – CMC APAC
CMC APAC Pte. Ltd.
, a member of
CMC Global
under
CMC Corporation,
is a Singapore-based regional hub delivering ICT and digital transformation solutions across the Asia-Pacific region.
As the Asia-Pacific arm of CMC Global, CMC APAC extends the Group’s technological expertise into one of the world’s most dynamic digital markets. Building on a strong foundation as a leading digital transformation (DX) provider in Vietnam, we serve as a strategic hub for delivering AI, Data, Cloud, and next-generation technology solutions across the region.
About CMC Global
CMC Global is a leading technology and AI transformation services provider, serving over 300 global clients across industries such as:
Banking & Financial Services
Healthcare
Manufacturing
Automotive
The company delivers end-to-end solutions in AI, Data, Cloud, and Digital Transformation, supporting enterprises in solving complex business challenges at scale.
Founded in 2017, CMC Global builds upon the long-standing legacy of CMC Corporation (established in 1993), one of Vietnam’s leading technology groups, with a vision to bring Vietnamese ICT solutions to the global market.
Global Presence & Capabilities
With an international network spanning Asia-Pacific, Europe, and North America, CMC Global provides:
24/7 global delivery capability
Strong engineering talent pool
Scalable and cost-effective delivery models
At CMC APAC, we combine global delivery excellence with local market expertise to support enterprises in achieving:
Operational efficiency
Business growth
Sustainable, long-term value
Learn More
CMC APAC: https://cmc-apac.sg/
CMC Global: *************
We are looking for a hands-on
Senior Cloud Platform Engineer
with practical AI literacy to help build and scale our Client’s
Digital Factory Platform on Microsoft Azure
.
The platform provides a self-service, governed, and automation-led foundation that enables product teams to move digital products and AI experiments from sandbox to production faster, securely, and with clear accountability.
The role will focus on reusable platform capabilities across
Azure infrastructure, Infrastructure as Code, CI/CD, DevSecOps, identity and access, observability, FinOps, compliance automation, AI application hardening, and developer self-service
.
Key Responsibilities
Design, build, and operate
Azure platform capabilities
across sandbox, QA, UAT, and production environments.
Develop reusable
Infrastructure as Code (IaC)
using Azure Bicep, Terraform, or equivalent tools.
Build self-service
golden paths
for environment provisioning, application templates, deployments, access requests, and approved developer tooling.
Design and maintain CI/CD pipelines using
Azure DevOps, GitHub, ShipHATS
, or equivalent platforms.
Embed security and compliance controls through
policy-as-code, automated security checks, quality gates, and platform guardrails
.
Harden AI-generated and experimental applications into production-ready MVPs through secure architecture, containerisation, API management, monitoring, and deployment standards.
Implement identity and access controls using
Microsoft Entra ID, RBAC, Privileged Identity Management (PIM), Conditional Access, and least-privilege practices
.
Develop observability capabilities using
Azure Monitor, Log Analytics, dashboards, alerts, and platform health metrics
.
Support
FinOps and TCO transparency
through tagging, budget alerts, cost allocation, token-cost tracking, and showback reporting.
Secure and operate Azure-based
AI/ML platform services
, including access controls, networking, monitoring, and production-readiness controls.
Collaborate with developers, Product Owners, Security, Audit, Finance, and leadership stakeholders to ensure platform capabilities meet business and governance requirements.
Develop reusable engineering patterns, templates, operating procedures, and platform documentation.
Continuously improve platform capabilities based on adoption, operational metrics, and product-team feedback.
Required Skills & Experience
10+ years of hands-on engineering experience
, with significant experience designing, building, managing, and operating Microsoft Azure infrastructure in enterprise or regulated environments.
Strong hands-on experience with
Azure Landing Zones, Azure Policy, Azure Container Apps, App Service, API Management, Azure Monitor, Log Analytics, Defender for Cloud, and Azure Cost Management
.
Hands-on experience operating within
Government Commercial Cloud (GCC)
environments, including government security, compliance, identity, networking, governance, and operational controls.
Extensive experience with
Azure Bicep, Terraform
, or equivalent IaC and automated provisioning technologies.
Extensive experience designing and operating
CI/CD and GitOps pipelines
using Azure DevOps, GitHub, ShipHATS, or similar platforms.
Strong
DevSecOps
experience, including security scanning, secrets management, vulnerability management, policy-as-code, automated quality checks, compliance controls, deployment promotion, and rollback.
Strong identity and access engineering experience with
Microsoft Entra ID, RBAC, Conditional Access, PIM, access reviews, and least-privilege governance
.
Working knowledge of
Active Directory and hybrid identity
, including directory services, authentication flows, and group-based access.
Understanding of authentication and authorisation standards, including
SAML, OpenID Connect, OAuth 2.0, and JWT
.
Practical experience with
containerisation, APIs, cloud-native architecture, and production-readiness practices
.
Experience supporting at least one production cloud-native application or shared platform capability, including deployment, reliability, monitoring, or operational support.
Experience integrating, securing, and operating
AI/ML services on Azure
.
Practical AI literacy and experience with AI-assisted development tools such as
GitHub Copilot, Microsoft Copilot, Claude
, or equivalent.
Ability to translate platform architecture into reusable templates, engineering patterns, self-service workflows, and developer platform capabilities.
Strong documentation, communication, and stakeholder management skills.
Experience working in
Agile and product-oriented engineering environments
.
Preferred Skills
Experience with
Azure OpenAI, Microsoft Fabric, Synapse, AI application platforms, data products, or AI governance
.
Experience developing
internal developer platforms, developer portals, platform APIs, self-service workflows, or golden-path templates
.
Experience in public-sector, government, or other regulated cloud environments.
Knowledge of
SRE, observability, Microsoft Sentinel, incident response automation, alert routing, and service-health dashboards
.
Understanding of
FinOps, cloud cost optimisation, TCO modelling, showback, and cost accountability
.
Familiarity with Jira, Confluence, GitHub, Azure DevOps, ShipHATS, Copilot, and similar engineering productivity tools.
Ideal Candidate
The ideal candidate is a practical senior platform engineer who can turn cloud architecture into
secure, reusable, automated platform capabilities
.
You should be comfortable building Azure services, automating infrastructure and delivery pipelines, implementing security and compliance guardrails, and creating self-service capabilities that allow development teams to work faster with less operational friction.
You should also understand how to support
AI-enabled applications in production
and use AI-assisted engineering tools responsibly while maintaining security, reliability, governance, and accountability.
Why Join Us
This is an opportunity to help shape a strategic
Digital Factory Platform
that modernises how digital products and AI solutions are built and operated.
The role will directly contribute to improving
developer productivity, cloud governance, security, automation, cost transparency, and the responsible adoption of AI
across the organisation.
Company Overview – CMC APAC
CMC APAC Pte. Ltd.
, a member of
CMC Global
under
CMC Corporation,
is a Singapore-based regional hub delivering ICT and digital transformation solutions across the Asia-Pacific region.
As the Asia-Pacific arm of CMC Global, CMC APAC extends the Group’s technological expertise into one of the world’s most dynamic digital markets. Building on a strong foundation as a leading digital transformation (DX) provider in Vietnam, we serve as a strategic hub for delivering AI, Data, Cloud, and next-generation technology solutions across the region.
About CMC Global
CMC Global is a leading technology and AI transformation services provider, serving over 300 global clients across industries such as:
Banking & Financial Services
Healthcare
Manufacturing
Automotive
The company delivers end-to-end solutions in AI, Data, Cloud, and Digital Transformation, supporting enterprises in solving complex business challenges at scale.
Founded in 2017, CMC Global builds upon the long-standing legacy of CMC Corporation (established in 1993), one of Vietnam’s leading technology groups, with a vision to bring Vietnamese ICT solutions to the global market.
Global Presence & Capabilities
With an international network spanning Asia-Pacific, Europe, and North America, CMC Global provides:
24/7 global delivery capability
Strong engineering talent pool
Scalable and cost-effective delivery models
At CMC APAC, we combine global delivery excellence with local market expertise to support enterprises in achieving:
Operational efficiency
Business growth
Sustainable, long-term value
Learn More
CMC APAC: https://cmc-apac.sg/
CMC Global: *************
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