DevOps Engineer
Cube
Posted: January 15, 2026
Interested in this position?
Create a free account to apply with AI-powered matching
Quick Summary
A DevOps Engineer at Cube Asia will be responsible for scaling backend systems, building and managing infrastructure operations on AWS, and collaborating with data and software engineering teams.
Required Skills
Job Description
As a DevOps Engineer at Cube Asia, you will be instrumental in scaling our backend systems. To thrive in this role, you should have at least 2 years of experience in DevOps and system infrastructure, focusing on enhancing the reliability, scalability, and performance of critical systems. Your responsibilities will include building and managing infrastructure operations on AWS, and collaborating closely with data and software engineering teams. If this excites you, we encourage you to join our team!
• Build and manage infrastructure operations, running on Cloud Infrastructure (Amazon Web Services)
• Working closely with data engineer team, software engineer team to align and create a collaborative solution
• Install, configure and manage supporting applications like PostgresQL, Nginx, Airflow, Jenkins or any other necessary apps
• Maintain deployment CI/CD for internal tools and Apps with Ansible
• Enhance monitoring tools across our servers
• Contribute to the ongoing improvement of reliability, scalability, and performance of critical infrastructure
• Research new technologies that will improve efficiency and effectiveness
Requirements:
• Minimum 2 years of experience with DevOps, Sysadmin, System Engineer practices, including basic linux understanding, automation, CI/CD, and IAC
• Familiar with Linux OS, and good system and network troubleshooting skills
• Experiences with Cloud Infrastructure (AWS, Google Cloud, Alibaba)
• Experience with DevOps tools (Git, Ansible, Terraform, Jenkins)
• Experience with simple scripting bash, Python, etc.
• Familiar with commonly used databases technology (MySQL and PostgresQL)
• Familiar with observability systems such as metrics, logging, tracing, and profiling. Having experience in Prometheus and grafana is a plus point
• Familiar with data orchestration tools (airflow, airbyte, dbt) and big data services in AWS is a plus point
• Familiar with container and container orchestration, such as k8s, including related underlying technology is a plus point