Senior Platform Engineer (AI)

Location: Singapore

Company

hirify.global Technologies develops and operates energy-efficient AI infrastructure, including the hirify.global AI Cloud GPU platform, by combining AI software orchestration, liquid cooling, energy management, and construction.

What you will do

• Build MLOps capabilities for reproducible, scalable, and secure machine-learning workflows across internal and customer-facing environments.
• Improve the DevOps platform, including CI/CD and infrastructure-service integrations, for reliability, scalability, and security.
• Design, implement, operate, and secure Kubernetes production infrastructure supporting NVIDIA GB300 NVL72 systems with Quantum-X800 InfiniBand or Spectrum-X Ethernet.
• Develop and scale observability platforms using telemetry, OpenTelemetry, and related monitoring technologies.
• Integrate central services with NVIDIA Mission Control, NETQ, UFM, and NMX, while enhancing internal self-service platform products.
• Lead incident response, participate in on-call rotation, and conduct root-cause analyses to improve operational maturity.

Requirements

• Bachelor’s degree in computer science or a related technical field.
• 7+ years of experience as a Platform Engineer, Site Reliability Engineer, DevOps Engineer, MLOps Engineer, or Observability Engineer.
• Strong experience with infrastructure-as-code, configuration management, CI/CD, Terraform, Ansible, GitHub Actions, Jenkins, or ArgoCD.
• Experience with Docker, Kubernetes networking and cluster management, observability stacks, telemetry solutions, OpenTelemetry, and compliance automation.
• Competent scripting and programming skills in Bash, Python, or Go, plus knowledge of Linux internals, networking stacks, and distributed storage.
• Clear and effective English communication, written and spoken.

Nice to have

• Experience in high-growth startups or regulated industries with strong security and data-privacy requirements.
• Experience with SOC 2 Type 2 and ISO 27001.

Culture & Benefits

• Work at the intersection of sustainability, artificial intelligence, and next-generation infrastructure.
• Collaborate closely with founders and experienced engineers in an emerging company.
• Contribute to making AI compute more sustainable, accessible, and affordable.
• Inclusive environment focused on diverse backgrounds and authentic collaboration.