Cloud Engineer: Secure, Scalable Infra & Automation

LG Sinar Mas (LGSM)

Jakarta Pusat

On-site

IDR 240,000,000 - 420,000,000

Full time

6 days ago
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Job summary

LG Sinar Mas (LGSM) is seeking a Cloud Engineer to design and oversee the implementation of cloud strategy, architecture, and infrastructure. The role focuses on secure, scalable, and resilient cloud solutions to support business needs.

You will collaborate with stakeholders, optimize cloud resources, and establish best practices in cloud computing, including deployment pipelines and monitoring. Ideal candidates have 1+ years in cloud engineering and hands-on experience with major CSPs.

Qualifications

  • Experience building cloud infrastructure on at least one CSP (GCP/AWS/Azure/Alibaba).
  • Experience migrating and managing containerized applications.
  • Ability to develop migration plans based on business requirements.
  • Knowledge of security standards and regulatory requirements for cloud environments.
  • Experience with monitoring systems and automation.

Responsibilities

  • Design and oversee cloud strategy, architecture, and infrastructure implementations.
  • Collaborate with stakeholders to optimize cloud resources and cost-efficiency.
  • Create secure, scalable, and resilient cloud solutions aligned with business needs.
  • Implement monitoring, automation, and deployment pipelines for cloud infra.
  • Maintain cloud health through patching, updates, and troubleshooting.
  • Ensure compliance with security standards and regulatory requirements.

Skills

Cloud Engineer
Cloud Providers
Terraform
Bash
Shell
Python
Kubernetes
GitLab
Docker
ELK
MySQL
PostgreSQL
MongoDB

Job description

LG Sinar Mas (LGSM) is seeking a Cloud Engineer to design and oversee the implementation of cloud strategy, architecture, and infrastructure. The role focuses on secure, scalable, and resilient cloud solutions to support business needs.

You will collaborate with stakeholders, optimize cloud resources, and establish best practices in cloud computing, including deployment pipelines and monitoring. Ideal candidates have 1+ years in cloud engineering and hands-on experience with major CSPs.

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