Cloud Solutions Engineer

SCIENTEC CONSULTING PTE. LTD.

Singapore

Hybrid

SGD 65,000 - 108,000

Full time

13 days ago
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Job summary

SCIENTEC CONSULTING PTE. LTD. is seeking a Cloud Solutions Engineer to design, build, and operate a scalable cloud platform across multiple providers from Singapore. Hybrid work arrangement with liaison to Punggol location supports automation, DevOps, and secure deployment practices.

You will collaborate with engineering teams, mentor engineers, and drive large-scale automation across AWS, Azure, and Google Cloud. The role emphasizes secure CI/CD and platform services.

Qualifications

  • Experience in backend or API development.
  • Experience with Terraform and scripting (e.g. Bash).
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with cloud infrastructure, deployment, and automation.
  • Experience leading or mentoring engineers, with a willingness to remain hands-on.
  • Familiarity with agile development, secure CI/CD pipelines, and deployment automation.
  • Understanding of or willingness to learn Infrastructure as Code, Policy as Code, and version control (e.g. Git).
  • Interest in large-scale distributed systems and their challenges.

Responsibilities

  • Contribute to design, development, and operations of a cloud platform as part of an engineering team.
  • Support and guide development teams in building and deploying applications on the platform.
  • Implement large-scale automation solutions, including cloud landing zones across multiple cloud service providers.
  • Develop and maintain shared platform services used by multiple teams or organisations.
  • Apply DevOps practices to improve automation, system reliability, scalability, and resilience.
  • Build and enhance backend services and APIs, focusing on automation and secure deployment pipelines.

Skills

Backend/API development
Hands-on cloud engineering
Mentoring engineers
Agile development
Security awareness

Tools

Terraform
Bash scripting
AWS
Azure
Google Cloud
GitLab
Atlassian
Git
Terraform Landing Zone
AWS Control Tower

Job description

Cloud Solutions Engineer
  • Working Hours: Mon-Fri (Hybrid)
  • Location: Punggol
  • Remuneration: Up to $9,000 + AWS
About the role

This role sits within a cloud engineering team responsible for building and maintaining a scalable, secure platform that enables organisations to deliver reliable digital services using commercial cloud technologies.

The team focuses on developing platform automation, toolchains, processes, and best practices to support the design, deployment, and operation of cloud-based systems in an agile and secure manner.

We are expanding the team and welcome individuals who are interested in working alongside experienced professionals and contributing to impactful, large-scale platforms.

Key Responsibilities
  • Contribute to the design, development, and operations of a cloud platform as part of an engineering team
  • Support and guide development teams in building and deploying applications on the platform
  • Implement large-scale automation solutions, including cloud landing zones across multiple cloud service providers
  • Develop and maintain shared platform services used by multiple teams or organisations
  • Apply DevOps practices to improve automation, system reliability, scalability, and resilience
  • Build and enhance backend services and APIs, focusing on automation and secure deployment pipelines (e.g. using Node.js, Python, CI/CD tools such as GitLab, Atlassian, Terraform)
Requirements
  • Experience in backend or API development
  • Experience with Terraform and scripting (e.g. Bash)
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud
  • Experience with cloud infrastructure, deployment, and automation
  • Experience leading or mentoring engineers, with a willingness to remain hands-on
  • Familiarity with agile development, secure CI/CD pipelines, and deployment automation
  • Understanding of or willingness to learn Infrastructure as Code, Policy as Code, and version control (e.g. Git)
  • Interest in large-scale distributed systems and their challenges
  • Awareness of application security practices and open-source tools
  • Interest in automation and improving engineering efficiency
  • Familiarity with cloud landing zone concepts (e.g. AWS Control Tower, Terraform Landing Zone, Azure CAF)
  • Knowledge of Site Reliability Engineering (SRE) principles and monitoring tools
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