AI Cloud Infrastructure Lead — GPU & Scale

Trulyyy; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Trulyyy is partnering to hire an AI Infrastructure Lead in Singapore. The role focuses on architecting and delivering scalable AI infrastructure, including GPU-enabled cloud platforms.

You will lead hands-on technical work while guiding a growing engineering team and collaborating across product and cloud operations to meet demanding AI workloads. The ideal candidate brings 8+ years of distributed systems expertise, with strong skills in Kubernetes, Linux, and Go/Python/C++.

Qualifications

• 8+ years of experience in software engineering, cloud platforms, or infrastructure development with leadership experience.
• Strong background in scalable, high-performance distributed systems.
• Solid understanding of GPU computing, cloud architecture, and infrastructure for AI workloads.

Responsibilities

• Lead architecture, design, and development of scalable AI infrastructure and cloud-based platforms.
• Drive technical decisions and deliver reliable, high-performance distributed systems.
• Provide hands-on engineering leadership in software development, system integration, and performance optimization.
• Design and optimize infrastructure solutions supporting GPU computing and AI workloads.
• Establish engineering best practices, conduct code reviews, and maintain high development standards.
• Build and mentor engineering teams, providing technical guidance and supporting recruitment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions and drive project delivery.

Skills

Kubernetes

Linux

Go

Python

C++

Tools

Kubernetes

Containerization

Job description

Trulyyy is partnering to hire an AI Infrastructure Lead in Singapore. The role focuses on architecting and delivering scalable AI infrastructure, including GPU-enabled cloud platforms.

You will lead hands-on technical work while guiding a growing engineering team and collaborating across product and cloud operations to meet demanding AI workloads. The ideal candidate brings 8+ years of distributed systems expertise, with strong skills in Kubernetes, Linux, and Go/Python/C++.