AI Infrastructure Specialist

Location: Remote in Singapore

Salary: SGD 155,000–175,000 estimated base salary, plus equity and bonus.

Company

hirify.global is a venture-backed startup building an open-source platform for AI cloud providers and enterprises running Kubernetes, GPU, Slurm, Ray, and inference workloads on bare-metal infrastructure.

What you will do

• Lead end-to-end technical deployments for GPU neocloud and AI Factory customers, from bare-metal configuration to validated hirify.global environments.
• Configure and troubleshoot GPU infrastructure, including CNI plugins, GPU Operators, distributed storage, RDMA, and InfiniBand.
• Deploy and validate Kubernetes and hirify.global for GPU-powered managed Kubernetes platforms.
• Work with customer teams to transfer operational knowledge and build platform self-sufficiency.
• Create reusable deployment architectures and playbooks that scale customer implementations.
• Partner with Sales, Engineering, and Product to support proofs of value and feed infrastructure challenges into the roadmap.

Requirements

• 5+ years of experience deploying and operating Kubernetes in production, ideally on bare metal or in complex environments.
• Practical knowledge of NVIDIA GPU Operators, CUDA tooling, GPU scheduling, inference serving, and LLM deployment tooling.
• Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity troubleshooting.
• Experience with persistent volumes, CSI drivers, and distributed storage systems such as Ceph, Rook, Weka, or Longhorn.
• Experience writing automation with Bash, Python, or Go.
• Ability to operate in ambiguous, fast-moving environments and create technical documentation and playbooks.

Nice to have

• CKA certification or experience writing Kubernetes Operators.
• Experience building AI automation for shared documentation and knowledge bases.

Culture & Benefits

• Remote-first, globally distributed workplace with flexible working hours.
• Health, dental, vision, and life insurance for employees and eligible dependents, depending on country.
• Competitive compensation with equity and bonus opportunities.
• Open-source culture focused on ownership, measurable outcomes, and modern infrastructure.
• Opportunity to build alongside customers and contribute to infrastructure standards for AI workloads.