Cloud Engineer
Nezda Global
Taguig, National Capital Region, PhilippinesPosted 18 hours agoLinkedIn
Setup
On-site
Type
Full-time
Level
Senior
Salary
Not listed
Closes
Open
Skills mentioned
JavaScriptPythonJavaC#AWSAzureGoogle CloudDockerKubernetesTerraformQuality ManagementLegal
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About the role
Cloud Engineer
Responsible for designing, implementing, and maintaining secure, scalable cloud infrastructure, with a focus on cloud modernization, automation, GenAI, and LLM integration.
Key Responsibilities
- Implement and support cloud infrastructure across public, hybrid, and multi-cloud environments.
- Support cloud migration and modernization initiatives.
- Automate infrastructure provisioning and management using Infrastructure as Code (IaC) and AI-powered workflows.
- Assist in integrating and optimizing GenAI/LLM solutions for business use cases.
- Monitor cloud performance, capacity, security, and resource utilization.
- Troubleshoot cloud infrastructure and AI-related issues.
- Follow cloud governance, security, and compliance standards.
- Maintain technical documentation and contribute to continuous improvement.
- Collaborate with senior engineers, technical teams, and business stakeholders.
- Stay updated on emerging cloud, GenAI, and automation technologies.
- Participate in after-hours support and on-call rotation as required.
Experience, Skills and Education
- Possesses a university degree and/or 5+ years relevant work experience
- 3 years of hands-on Cloud Computing experience in enterprise environments
- Experience in executing and optimizing processes following industry frameworks such as CMMI, ITIL, or Six Sigma
- Experience in implementing processes to meet organizational needs at an enterprise level
Tools and Technology
- Knowledge of multiple major cloud platform hyperscalers such as AWS, GCP, Azure, AliCloud
- Understanding IaaS and associated enterprise-grade tooling such as Terraform, Cloud
Formation, resource manager, deployment manager
- Programming and scripting capabilities with proficiency in multiple languages such as Java, JavaScript, YAML, Python, .Net, or other relevant languages
- Knowledge of containerization and orchestration tools: Docker, Kubernetes, Amazon EKS, Open
Shift, with experience in large-scale implementations
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