Junior DevOps Engineer - Hybrid (Bangkok/Remote Indonesia)

Cube; Pulau Untung Jawa; Hybrid; IDR 120,000,000 - 180,000,000; Full time

Job summary

Cube is seeking a Junior DevOps Engineer / Cloud Engineer in a hybrid setup with offices in Bangkok and remote work from Indonesia. You will help maintain cloud infrastructure and delivery pipelines behind our products, collaborating with the Senior Infrastructure, Software, and Data Engineering teams to ensure secure, reliable, and cost-efficient systems.

You will gain exposure to AWS, Docker, Kubernetes, IaC, and monitoring tools while supporting deployment across engineering clusters.

Qualifications

• 1–2 years of experience in DevOps, Cloud Engineering, or similar roles.
• Basic experience with Linux servers.
• Experience with AWS and cloud networking.
• Familiarity with CI/CD pipelines and Git workflows.
• Basic Bash or Python scripting.
• Hands-on with Docker and Kubernetes.
• Willingness to learn and collaborate across teams.
• Cloud/Infrastructure certifications are a plus.

Responsibilities

• Support setup, maintenance, and operation of cloud infrastructure.
• Help maintain CI/CD pipelines for reliable software delivery.
• Deploy and manage containerized workloads with Docker/Kubernetes.
• Assist with cloud networking, databases, monitoring, and backup.
• Monitor systems, investigate alerts, and troubleshoot issues.
• Collaborate with engineering teams on deployment needs.
• Contribute to infrastructure modernization projects.

Skills

Cloud fundamentals

Linux administration

AWS

CI/CD

Docker

Kubernetes

Scripting Bash/Python

IaC basics

Tools

Docker

Kubernetes

Git

Job description

Cube is seeking a Junior DevOps Engineer / Cloud Engineer in a hybrid setup with offices in Bangkok and remote work from Indonesia. You will help maintain cloud infrastructure and delivery pipelines behind our products, collaborating with the Senior Infrastructure, Software, and Data Engineering teams to ensure secure, reliable, and cost-efficient systems.

You will gain exposure to AWS, Docker, Kubernetes, IaC, and monitoring tools while supporting deployment across engineering clusters.