Cloud Engineer: AWS/GCP, Kubernetes & AI Ops

TRINITY CONSULTING SERVICES PTE. LTD.

Singapore

On-site

SGD 120,000 - 160,000

Full time

14 days+
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Job summary

TRINITY CONSULTING SERVICES PTE. LTD. seeks an experienced IT engineer to support cloud and container platforms, automation and AI-enabled architectures. The role requires 5–8 years in AWS/GCP, Terraform, Docker/Kubernetes, and middleware stacks, with ITIL knowledge and strong communication skills.

The position involves on-call rotation and adapting to shifting schedules, delivering reliable incident response and data-driven monitoring across enterprise environments.

Qualifications

  • Bachelor's degree in Computer Science / IT / Computer Engineering or equivalent
  • 5–8 years of experience with AWS, GCP, Terraform
  • Experience with Docker/Kubernetes
  • Experience with WebSphere, JBoss, WildFly, Tomcat, Apache, Kafka
  • Strong understanding of ITIL Service Management (Incident, Problem, Change)
  • Understanding of LLMs and AI architectures (RAG, Agentic, MCP)
  • Experience with Jenkins, Ansible, ElasticSearch, Rundeck, Git
  • Experience with monitoring/data analytics tools: Nagios, OMI, ServiceNow, Geneos
  • Willing to work on shift and on-call rotation
  • Excellent communication, interpersonal and analytical skills

Skills

Communication
Interpersonal
Analytical
Shift work

Education

Bachelor's degree in Computer Science / IT / Computer Engineering or equivalent

Tools

AWS
GCP
Terraform
Docker
Kubernetes
Java
Unix Shell
Bash
Python
PowerShell
WebSphere
JBoss
WildFly
Tomcat
Apache
Kafka
Jenkins
Ansible
ElasticSearch
Rundeck
Git
Nagios
OMI
ServiceNow
Geneos

Job description

TRINITY CONSULTING SERVICES PTE. LTD. seeks an experienced IT engineer to support cloud and container platforms, automation and AI-enabled architectures. The role requires 5–8 years in AWS/GCP, Terraform, Docker/Kubernetes, and middleware stacks, with ITIL knowledge and strong communication skills.

The position involves on-call rotation and adapting to shifting schedules, delivering reliable incident response and data-driven monitoring across enterprise environments.

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