HELIUS TECHNOLOGIES PTE. LTD.
CLOUD ENGINEER
Cloud engineer role in Singapore focused on building and operating production cloud and platform services on Azure, including Kubernetes workloads, infrastructure-as-code (Terraform/Ansible), and CI/CD release automation. Requires ~7 years in cloud/DevOps/SRE, strong Linux and scripting skills; AI-assisted engineering experience is a plus.
- Compensation
- SGD 7.5K–SGD 9.5K / mo
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- 7 years in cloud engineering, platform engineering, DevOps, SRE, or software engineering with hands-on cloud/platform service operation
- Hands-on experience with Microsoft Azure or another major public cloud, operating production services
- Hands-on experience with Kubernetes and containerised applications
- Experience with infrastructure as code, automation, and Git-based workflows
- Experience building and maintaining CI/CD pipelines and release automation
- Strong programming skills and proficiency in Linux and shell scripting
Nice to have
- Degree in Computer Science, Engineering, or related discipline (experience considered in lieu)
- Cloud/Kubernetes/automation/security/AI certifications (e.g. Azure Administrator Associate, CKA) an advantage
- Strong experience with Microsoft Azure and managed Kubernetes services
- Experience with CI/CD and platform tools such as GitHub Actions, Jenkins, Sonatype Lifecycle/Repository Manager, Fortify, SonarQube
- Experience with IaC and configuration management tools such as Terraform or Ansible
- Experience with secrets management tools such as HashiCorp Vault
- Experience with GitOps tools such as Argo CD and cloud monitoring/observability platforms
- Practical experience with AI in engineering work (AI coding assistants, AI agents, MCP) or AI workloads on Azure (Azure OpenAI, Microsoft Foundry)
Full description
JobRequirement:
- A degree in Computer Science, Engineering, or a related discipline is preferred. Demonstrated experience will be considered in place of formal qualifications.
- Relevant cloud, certifications, Kubernetes, automation, security, or AI certifications (e.g. Microsoft Certified: Azure Administrator Associate or Certified Kubernetes Administrator) are an advantage.
- 7 years in cloud engineering, platform engineering, DevOps, site reliability engineering, or software engineering, including hands-on experience building and operating cloud or platform services.
- Hands-on experience with Microsoft Azure or another major public cloud platform, including the operation of production cloud services.
- Hands-on experience with Kubernetes and containerised applications.
- Experience with infrastructure as code, automation, and Git-based workflows.
- Experience building and maintaining CI/CD pipelines and release automation.
- Strong programming skills and proficiency in Linux and shell scripting.
Preferred Skills and Experience
- Strong experience with Microsoft Azure and managed Kubernetes services.
- Experience with CI/CD and platform tools, such as GitHub Actions, Jenkins, Sonatype Lifecycle and Repository Manager, Fortify, or SonarQube.
- Experience with infrastructure as code and configuration management tools, such as Terraform or Ansible.
- Experience with secrets management tools, such as HashiCorp Vault.
- Experience with GitOps tools, such as Argo CD, and cloud monitoring or observability platforms.
- Practical experience with AI in engineering work, such as AI coding assistants, AI agents, or the Model Context Protocol (MCP), or with running AI workloads on Azure, such as Azure OpenAI or Microsoft Foundry.
Thanks,and Best Regards