Senior Cloud Engineer - AI/ML Infra, Kubernetes Lead

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Benefits offered by this job

Exposure to cutting-edge technologies

Collaborative and inclusive working环境

Competitive remuneration and benefits

Job summary

TALENTSIS PTE. LTD. is seeking an experienced IT infrastructure engineer to plan and manage technical activities for IT infrastructure projects, including new setups and upgrades.

You will design end-to-end infrastructure solutions, guide junior engineers, and prepare detailed project documentation and reports. Strong knowledge of Windows Server, Unix/Linux, virtualization, networking, and Kubernetes is required; experience with Nutanix and AI/ML infra is a plus.

Qualifications

• Experience with Windows Server and Unix/Linux in virtualised environments.
• Hands-on virtualization experience with hypervisors; Nutanix is a plus.
• Knowledge of networking (VPNs, firewalls, switches, routers).
• Experience with Kubernetes and container technologies.
• Cloud infrastructure for AI/ML workloads including GPUs.
• Familiarity with AI/ML concepts, Generative AI and LLMs.
• Strong analytical and communication skills; able to lead junior engineers.

Responsibilities

• Plan and manage technical activities for IT infrastructure projects, including new setups and system upgrades.
• Design and implement end-to-end infrastructure solutions.
• Guide junior engineers in project delivery and technical development.
• Prepare project documentation and reports.
• Troubleshoot and resolve technical issues.

Skills

Windows Server

Unix/Linux

Virtualization

Nutanix

Networking

Kubernetes

Cloud AI/ML

AI/ML concepts

LLMs

Analytical skills

Communication

Leadership

NCP/NCM certification

Job description

TALENTSIS PTE. LTD. is seeking an experienced IT infrastructure engineer to plan and manage technical activities for IT infrastructure projects, including new setups and upgrades.

You will design end-to-end infrastructure solutions, guide junior engineers, and prepare detailed project documentation and reports. Strong knowledge of Windows Server, Unix/Linux, virtualization, networking, and Kubernetes is required; experience with Nutanix and AI/ML infra is a plus.