Cloud Infrastructure Engineer

• Support the team in planning, designing, building, deploying, and maintaining Cloud solutions on the on-premises VMware platform (private cloud) and Hyperscaler Cloud Service Providers, e.g., AWS, GCP, Azure, and Huawei Cloud
• Manage and support troubleshooting for any incidents related to Cloud Services (IaaS, OS, Monitoring, Networking, Security) to meet agreed SLAs
• Perform ongoing performance tuning, hardware upgrades, and resource optimization as required
• Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems and key processes, and reviewing system and application logs
• Leverage AI tools (e.g., ChatGPT, Claude, Copilot, Gemini) to assist in log analysis, troubleshooting, documentation, and customer communication drafting
• Design and implement automation and AIOps solutions to reduce manual effort, improve incident detection, and accelerate root cause analysis (e.g., scripting, Infrastructure-as-Code, AI-assisted runbooks)
• Follow TCCTech/LSA operation processes (ISO standards) such as incident, problem and change management that are established within the organization
• Work as part of a team and provide 24x7 support when required
• Onsite support and troubleshooting when required

Qualifications

• At least 3 years of hands-on experience in on-premises infrastructure, Cloud operations, system administration, or IT infrastructure support. Experience in 24x7 shift rotation or on-call duty is preferred
• Experience managing on-premises and Cloud Infrastructure (hybrid environments), including:

a.     Solid IT infrastructure technical knowledge and hands-on experience

b.     Experience in infrastructure and system monitoring, including alerting, capacity, and availability management

c.     Experience in cloud governance such as policy and compliance

d.     Knowledge of Windows- or Linux-based systems, including hardware, software, networking, and storage

e.     Troubleshooting skills in production support

f.      Experience working under ISO standards (e.g., ISO 27001, ISO 20000)

• Operations Tools Experience:

a.     Hands-on experience with ticketing systems such as ManageEngine ServiceDesk Plus (or similar, e.g., ServiceNow, Jira Service Management)

b.     Monitoring & Observability experience with platforms such as Zabbix, Grafana, CloudWatch, Prometheus, or Datadog

c.     Log management experience with Graylog; experience with ELK Stack (Elasticsearch, Logstash, Kibana) is highly preferred

• Working knowledge of networking fundamentals: VLAN, routing, firewall, VPN, Load Balancer, and DNS
• Experience with Incident, Problem, and Change Management following ITIL practices; able to handle P1/P2 critical incidents with SLA commitments and produce Root Cause Analysis (RCA) reports
• AI & Automation Capabilities: Experience using AI tools (ChatGPT, Claude, Copilot, Gemini) for daily operations, troubleshooting, and documentation; knowledge of or interest in AIOps, prompt engineering basics, and AI-assisted scripting; ability to build automation workflows (Bash/Python/PowerShell, Ansible, Terraform, or similar); familiarity with Cloud Provider AI services (AWS Bedrock, Azure OpenAI, GCP Vertex AI) is an advantage
• Documentation & Customer-facing Skills:

a.     Strong technical writing skills — able to produce runbooks, SOPs, RCA reports, architecture diagrams, and operation manuals

b.     Customer-facing communication — comfortable interacting with enterprise customers via email, phone, meetings, and incident war-rooms; able to explain technical issues clearly to non-technical stakeholders

• Mindset & Soft Skills:

a.     Initiative, self-supervised, self-motivated, and highly responsible

b.     Calm under pressure and ownership mindset during high-severity outages

c.     Willing to continuously learn new cloud services, AI tooling, and operational best practices

• Strong communication skills in Thai and English; service mind, positive thinking and “CAN DO” attitude
• Certification in VMware, Amazon Web Services, Google Cloud Platform, Azure, Huawei Cloud, Linux, or ITIL will be an advantage