Senior System Administrator / Engineer

FLINTEX CONSULTING PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading consulting firm based in Singapore is seeking a System Administrator/Engineer to manage cloud infrastructure, including configuration, security, and automation. The ideal candidate should have strong knowledge in cloud platforms, effective troubleshooting abilities, and proficiency in scripting languages. This role involves collaboration with IT teams and compliance with industry standards.

Qualifications

• Working knowledge of cloud infrastructure is essential.
• Experience with one or more cloud platforms such as AWS, Azure, or Google Cloud.
• Proficiency in using Infrastructure as Code tools.

Responsibilities

• Configure, deploy, and manage cloud resources like virtual machines and storage.
• Implement and enforce security policies, monitor for threats.
• Diagnose and resolve technical issues with cloud infrastructure.

Skills

Cloud infrastructure knowledge

Scripting skills (Python, PowerShell, Bash)

Cloud security best practices understanding

Performance monitoring skills

Tools

Terraform

CloudFormation

Ansible

AWS CloudWatch

Azure Monitor

Job description

Summary

The System Administrator/Engineer (SA/E) is responsible for effective provisioning, installation/configuration, operation, and maintenance of systems hardware and software and related infrastructure. This individual participates in technical research and development to enable continuing innovation within the infrastructure. This individual ensures that system hardware, operating systems, software systems, and related procedures adhere to organizational values, enabling staff, volunteers, and Partners.

Job Description

• Infrastructure Management: Configure, deploy, and manage cloud resources like virtual machines, storage, and databases.
• Security: Implement and enforce security policies, monitor for threats, and manage user access controls.
• Performance Optimization: Monitor system performance, identify bottlenecks, and optimize resource utilization.
• Troubleshooting: Diagnose and resolve technical issues with cloud infrastructure and applications.
• Automation: Automate routine tasks using scripting and automation tools.
• Collaboration: Work with other IT teams, including development, operations, and security, to support cloud deployments.
• Compliance: Ensure compliance with relevant regulations and industry standards.
• Cost Optimization: Identify and implement cost‑saving measures for cloud resources.
• Software and System Deployment: Plan and deploy new application software upgrades.
• Reports as required.
• Incident Management: Perform incident management, vendor management and reporting.
• Disaster Recovery: Involve in the Disaster Recovery planning and execution of DR procedures during simulated dry runs and actual disaster runs.

Requirements

Working knowledge of cloud infrastructure is essential.

Technical Expertise and Knowledge preferred

• OS: Windows, Linux, AIX
• Middleware: WebSphere Application Servers, WebSphere Message Queue, Solace
• Datawarehouse: Snowflake
• Data Integration Tools: Fivetran
• Cloud Platform Expertise: Experience with one or more cloud platforms such as AWS, Azure, Google Cloud, or other similar providers.
• Infrastructure as Code (IaC): Proficiency in using tools like Terraform, CloudFormation, or Ansible to manage cloud infrastructure.
• Cloud Resource Management: Experience in deploying, managing, and monitoring cloud based instances (e.g., virtual machines, storage, networking, etc.).
• Automation & Scripting: Strong scripting skills (e.g., Python, PowerShell, Bash) to automate tasks in a cloud environment.
• Cloud Security: Understanding of cloud security best practices (e.g., IAM roles, security groups, firewall configurations).
• Monitoring & Performance: Strong experience with cloud monitoring tools (e.g., AWS CloudWatch, Azure Monitor) to track performance and troubleshoot issues.
• Scalability & Cost Management: Practical knowledge in scaling cloud infrastructure dynamically and optimizing costs using reserved instances, spot instances, and autoscaling.