Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 27 days ago

Senior Cloud Platform Engineer – Digital Factory Platform

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 8,000 a month
Where
Central, Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Cloud Platform Engineer – Digital Factory PlatformMyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 27 days ago

The posting

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MyCareersFuture's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    MyCareersFuture's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.