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Azure Cloud Platform Engineer

Summary

Design and operate secure Azure cloud platforms using IaC, CI/CD, and DevSecOps for government environments, enabling AI-enabled apps and shared services.

Location: Jurong
Job Type: Contract (Renewable basis)

Key Responsibilities

  • Design, build and operate Azure cloud platforms across sandbox, QA, UAT and production environments.
  • Develop reusable Infrastructure as Code (IaC) using Terraform, Azure Bicep or equivalent tools.
  • Build CI/CD and GitOps pipelines using Azure DevOps, GitHub, ShipHATS or similar platforms.
  • Develop self-service golden paths, deployment templates and reusable platform services for development teams.
  • Embed security, compliance and DevSecOps guardrails through policy-as-code, automated scanning and secure access controls.
  • Implement identity and access management using Microsoft Entra ID, RBAC, PIM and Conditional Access.
  • Establish monitoring and observability using Azure Monitor, Log Analytics and dashboards, including cost and platform health metrics.
  • Support the production-readiness of AI-enabled applications and MVPs, including containerisation, APIs, security and monitoring.
  • Collaborate with product, engineering, security and business stakeholders to continuously improve platform capabilities.

Requirements

  • Min. 10 years of hands-on engineering experience, with strong experience designing and operating Microsoft Azure environments.
  • Strong hands-on knowledge of Azure Landing Zones, Azure Policy, Container Apps/App Service, API Management, Azure Monitor, Log Analytics and Defender for Cloud.
  • Experience working within Government Commercial Cloud (GCC) or other regulated cloud environments.
  • Strong expertise in Terraform/Bicep, CI/CD, GitOps and DevSecOps.
  • Experience with Microsoft Entra ID, RBAC, PIM, Conditional Access and enterprise identity integration.
  • Good understanding of containers, APIs, cloud-native architectures and authentication standards such as OAuth 2.0, OIDC, SAML and JWT.
  • Experience supporting production cloud-native applications or shared platform services.
  • Practical exposure to AI-assisted development tools such as GitHub Copilot, Microsoft Copilot or Claude.
  • Strong communication, documentation and stakeholder management skills.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.

• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elaine Wong (Zoe) l Outsourcing Team

ScienTec Consulting Pte Ltd - 11C5781

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