DevOps / Cloud Platform Engineer (Azure & Terraform)
Posted
Summary
Hands-on DevOps/Cloud Platform Engineer at a financial-services organization in Singapore: design Terraform modules for Azure infrastructure, build reusable GitLab CI/CD or GitHub Actions pipelines with embedded security scanning, and support application teams deploying securely to Azure services like App Service, Container Apps, Functions and Databricks.
Our client is a well-established organization within the financial services sector in Singapore. They are looking for a hands-on DevOps / Cloud Platform Engineer to help build, automate, and operate their Azure cloud platform through Infrastructure-as-Code and pipeline-driven delivery.
This role is suited for someone with strong
Azure and Terraform experience , who can create infrastructure through code, build reusable CI/CD patterns, and support application teams in deploying securely into Azure. Job Description
Design, build, and maintain Terraform modules for Azure cloud infrastructure, including management groups, subscriptions, RBAC, virtual networks, firewalls, private endpoints, and shared platform services. Drive an "Infrastructure-as-Code first" approach, ensuring cloud resources are provisioned and changed through code and pipelines rather than manual portal work. Manage Terraform remote state, module versioning, workspaces, reusable patterns, and safe promotion across development, QA, UAT, and production environments. Build and maintain GitLab CI/CD or GitHub Actions pipelines for infrastructure provisioning, including validation, planning, approvals, and controlled apply processes. Create reusable CI/CD templates that application, data, and engineering teams can adopt for infrastructure, deployment, testing, and smoke test workflows. Support application and data teams in integrating their repositories with standard CI/CD templates for build, test, and deployment automation. Enable deployments into Azure services such as App Service, Container Apps, Azure Functions, Databricks, storage, and other cloud platform components. Advise application teams on suitable Azure services, infrastructure design, network patterns, and overall solution architecture for new applications. Integrate security checks into CI/CD pipelines, including SAST, SCA/open-source dependency scanning, secret scanning, container scanning, and Infrastructure-as-Code scanning. Work with security and infrastructure teams to build secure-by-default cloud and pipeline guardrails, especially around network and infrastructure security. Connect infrastructure and application pipelines with monitoring and alerting tools such as Azure Monitor, Log Analytics, and Grafana. Contribute to platform reliability, incident response, post-incident reviews, rollback improvements, pipeline resilience, and cloud cost optimization. Document CI/CD standards, Terraform module usage, deployment patterns, and operational guides for engineering teams. Requirements
5–10 years of experience in DevOps, Platform Engineering, Cloud Engineering, Infrastructure Automation, or similar roles. Strong hands-on
Azure
cloud experience is essential. Strong Terraform experience on Azure, especially
Terraform
modules, multi-environment setup, remote state management, and pipeline-based execution. Strong experience with
GitLab CI/CD
or
GitHub Actions . Good understanding of Azure networking and platform fundamentals, including VNets, NSGs, private endpoints, firewalls, VPN/ExpressRoute, and hub-and-spoke network design. Familiarity with Azure identity and shared services, including RBAC, managed identities, Key Vault, Log Analytics, storage, and monitoring services. Good Azure solution architecture understanding, with the ability to advise teams on which cloud resources and architecture patterns to use. Experience supporting application deployment into Azure services such as App Service, Container Apps, Azure Functions, Databricks, or similar platforms. Familiar with
DevSecOps
practices and integrating
security tools
into CI/CD pipelines. Experience with security scanning areas such as SAST, SCA/open-source dependency scanning, secret scanning, container scanning, and/or Infrastructure-as-Code scanning. Clear communication skills, with the ability to document standards and guide engineering teams on best practices. Able to work independently, handle ambiguity, and operate with limited day-to-day supervision. Prior experience in financial services, banking, investment management, or another regulated environment is an advantage. Exposure to AI-assisted development tools or cloud coding tools would be a plus.
Azure and Terraform experience , who can create infrastructure through code, build reusable CI/CD patterns, and support application teams in deploying securely into Azure. Job Description
Design, build, and maintain Terraform modules for Azure cloud infrastructure, including management groups, subscriptions, RBAC, virtual networks, firewalls, private endpoints, and shared platform services. Drive an "Infrastructure-as-Code first" approach, ensuring cloud resources are provisioned and changed through code and pipelines rather than manual portal work. Manage Terraform remote state, module versioning, workspaces, reusable patterns, and safe promotion across development, QA, UAT, and production environments. Build and maintain GitLab CI/CD or GitHub Actions pipelines for infrastructure provisioning, including validation, planning, approvals, and controlled apply processes. Create reusable CI/CD templates that application, data, and engineering teams can adopt for infrastructure, deployment, testing, and smoke test workflows. Support application and data teams in integrating their repositories with standard CI/CD templates for build, test, and deployment automation. Enable deployments into Azure services such as App Service, Container Apps, Azure Functions, Databricks, storage, and other cloud platform components. Advise application teams on suitable Azure services, infrastructure design, network patterns, and overall solution architecture for new applications. Integrate security checks into CI/CD pipelines, including SAST, SCA/open-source dependency scanning, secret scanning, container scanning, and Infrastructure-as-Code scanning. Work with security and infrastructure teams to build secure-by-default cloud and pipeline guardrails, especially around network and infrastructure security. Connect infrastructure and application pipelines with monitoring and alerting tools such as Azure Monitor, Log Analytics, and Grafana. Contribute to platform reliability, incident response, post-incident reviews, rollback improvements, pipeline resilience, and cloud cost optimization. Document CI/CD standards, Terraform module usage, deployment patterns, and operational guides for engineering teams. Requirements
5–10 years of experience in DevOps, Platform Engineering, Cloud Engineering, Infrastructure Automation, or similar roles. Strong hands-on
Azure
cloud experience is essential. Strong Terraform experience on Azure, especially
Terraform
modules, multi-environment setup, remote state management, and pipeline-based execution. Strong experience with
GitLab CI/CD
or
GitHub Actions . Good understanding of Azure networking and platform fundamentals, including VNets, NSGs, private endpoints, firewalls, VPN/ExpressRoute, and hub-and-spoke network design. Familiarity with Azure identity and shared services, including RBAC, managed identities, Key Vault, Log Analytics, storage, and monitoring services. Good Azure solution architecture understanding, with the ability to advise teams on which cloud resources and architecture patterns to use. Experience supporting application deployment into Azure services such as App Service, Container Apps, Azure Functions, Databricks, or similar platforms. Familiar with
DevSecOps
practices and integrating
security tools
into CI/CD pipelines. Experience with security scanning areas such as SAST, SCA/open-source dependency scanning, secret scanning, container scanning, and/or Infrastructure-as-Code scanning. Clear communication skills, with the ability to document standards and guide engineering teams on best practices. Able to work independently, handle ambiguity, and operate with limited day-to-day supervision. Prior experience in financial services, banking, investment management, or another regulated environment is an advantage. Exposure to AI-assisted development tools or cloud coding tools would be a plus.