Senior Cloud Automation Engineer

Quantum Infotech Solutions; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Quantum Infotech Solutions is seeking a seasoned automation and DevOps specialist to design and implement automation across on‑premise and cloud infrastructure and databases. You will build reusable scripts in Python/Bash, maintain Ansible playbooks, and automate provisioning, patching, backups, and monitoring to boost reliability and efficiency.

Ideal candidates have 8+ years in infrastructure/DevOps, strong Linux administration, and hands-on Ansible experience, with enterprise production

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 8+ years of experience in infrastructure, database, automation, Cloud DevOps, or production operations.
• Strong Linux/UNIX administration experience.
• Strong scripting and automation experience.
• Hands‑on experience with Ansible or similar configuration‑management/automation tools.
• Experience supporting enterprise production environments.
• Strong troubleshooting and problem‑solving skills.

Responsibilities

• Design, develop, implement, and maintain automation solutions for infrastructure and database operations on on‑premise and cloud platforms.
• Identify repetitive, manual, and error‑prone operational activities and develop automation to improve efficiency.
• Develop automation scripts using Python, Bash, and Unix Shell scripting.
• Develop and maintain Ansible playbooks, roles, and automation workflows for infrastructure and database operations.
• Automate database provisioning, configuration, patching, validation, monitoring, backup, recovery, and maintenance activities.

Tools

AWS

Azure

GCP

Job description

Key Responsibilities:

• Design, develop, implement, and maintain automation solutions for infrastructure and database operations on on‑premise and cloud platforms.
• Identify repetitive, manual, and error‑prone operational activities and develop automation to improve efficiency.
• Develop automation scripts using Python, Bash, and Unix Shell scripting.
• Develop and maintain Ansible playbooks, roles, and automation workflows for infrastructure and database operations.
• Automate database provisioning, configuration, patching, validation, monitoring, backup, recovery, and maintenance activities.

Automation & Scripting:

• Strong experience with Python and/or Bash/Unix Shell scripting.
• Experience developing reusable automation scripts and frameworks.
• Experience with Ansible, including playbooks, roles, variables, inventories, and automation workflows.
• Ability to automate complex multi‑step operational processes.
• Experience implementing error handling, logging, validation, notifications, and rollback mechanisms.
• Experience integrating scripts with APIs, command‑line tools, monitoring platforms, and enterprise infrastructure.
• Understanding of Git/version control and software development practices is preferred.
• Experience with CI/CD and automation pipelines is an advantage.

Infrastructure Automation:

• Strong Linux/UNIX administration and troubleshooting experience.
• Experience automating infrastructure provisioning and configuration.
• Experience with virtual machines and enterprise infrastructure.
• Experience with OCI and Hybrid cloud environments (AWS/Azure/GCP).
• Experience with infrastructure monitoring and operational automation.
• Understanding of networking, storage, compute, and high‑availability concepts.
• Experience with Oracle Database Appliance, Exadata Cloud@Customer, and ZFS is highly desirable.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
• 8+ years of experience in infrastructure, database, automation, Cloud DevOps, or production operations.
• Strong Linux/UNIX administration experience.
• Strong scripting and automation experience.
• Hands‑on experience with Ansible or similar configuration‑management/automation tools.
• Experience supporting enterprise production environments.
• Strong troubleshooting and problem‑solving skills.
• Ability to work with cross‑functional technical teams.

Key Performance Areas:

• Reduction in manual operational effort
• Automation coverage across infrastructure and database operations
• Reliability and success rate of automation workflows
• Reduction in operational incidents and recurring issues
• Improvement in deployment and maintenance efficiency
• Standardization of operational processes
• Automation scalability and reusability
• Platform availability and operational stability