Cloud Engineer

Full-time
Quezon City, Metro Manila, ph · Taguig, Metro Manila, phvia Workable ATSPosted Sep 30, 2025
Match with my CV

Technical skills

Data analysisData scienceCI/CDAWSAzureGoogle CloudDockerKubernetesTerraformCloud platforms

About this role

Overview:

As a Cloud Engineer, you will play a pivotal role in driving our organization's cloud adoption strategy. You will focus on designing, implementing, and managing hybrid multi-cloud infrastructures and modernizing our applications to leverage the benefits of cloud-native technologies.

Responsibilities

  • Hybrid Cloud Design: Develop and implement hybrid cloud architectures that combine on-premises and cloud resources to meet business needs.
  • Multi-cloud Management: Manage and optimize multiple cloud platforms (e.g., AWS, Azure, GCP) to achieve cost-efficiency, performance, and reliability.
  • Application Modernization: Lead the process of migrating and modernizing legacy applications to cloud-native architectures, leveraging containerization (Docker, Kubernetes) and serverless technologies.
  • Infrastructure Automation: Automate infrastructure provisioning, configuration, and management using tools like Terraform, Ansible, or CloudFormation.
  • DevOps Integration: Collaborate with development teams to implement DevOps practices and CI/CD pipelines for efficient software delivery.
  • Security and Compliance: Ensure that cloud environments adhere to security and compliance standards, including data privacy regulations.
  • Cost Optimization: Identify and implement strategies to optimize cloud costs, such as rightsizing resources and leveraging cost-effective solutions.
  • Troubleshooting and Support: Diagnose and resolve technical issues related to cloud infrastructure and applications.

Requirements

  • Bachelor’s degree in computer science, engineering, or related fields
  • Experience: Proven experience as a Cloud Engineer or similar role with a focus on hybrid multi-cloud environments.
  • Technical

Skills

  • Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and related technologies (e.g., virtualization, networking, storage).
  • Infrastructure Automation: Proficiency in using infrastructure as code tools (e.g., Terraform, Ansible, CloudFormation) for automation.
  • Containerization: Experience with containerization platforms (e.g., Docker, Kubernetes) and orchestrating containerized applications.
  • DevOps: Knowledge of DevOps principles and practices, including CI/CD pipelines and automation.
  • Problem-Solving: Ability to troubleshoot complex technical issues and find innovative solutions.
  • Communication: Excellent communication skills to collaborate effectively with cross-functional teams.
  • Certifications: Preferred certifications (e.g., AWS Certified Solutions Architect, Azure Certified Solutions Architect, Google Cloud Certified Professional Cloud Architect).
  • Additional Skills (Preferred):
  • Experience with serverless computing (e.g., AWS Lambda, Azure Functions)
  • Knowledge of data analytics and machine learning platforms
  • Familiarity with cloud security best practices and certifications (e.g., AWS Certified Security Specialty)

Before you apply

  • 1Which parts of your CV prove experience with Data analysis, Data science, and CI/CD?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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