Senior AI Engineer (Kubernetes & Customised Scheduler)

Location: Singapore or Australia (Launceston, Hobart, Sydney, Melbourne)

Company

hirify.global Technologies develops and operates sustainable AI infrastructure and the hirify.global AI Cloud GPU platform across Asia Pacific.

What you will do

• Design, build, operate, and continuously improve a proprietary Kubernetes-native scheduler for large-scale AI workloads.
• Develop custom resource definitions, controllers, admission webhooks, scheduling plugins, APIs, CLI tools, automation, and workload templates.
• Implement topology-aware and AI-factory-resource-aware placement using GPU, NVLink/NVSwitch, NUMA, RDMA, storage, capacity, health, power, thermal, and maintenance signals.
• Support queueing, priorities, quotas, fair sharing, reservations, preemption, gang scheduling, backfilling, retries, checkpoint-aware scheduling, and failure recovery.
• Build observability, scheduler explanations, benchmarking, testing, CI/CD, GitOps, secure multi-tenancy, and production operations.
• Collaborate with AI, inference, platform, infrastructure, networking, storage, security, operations, and product teams on the Model-to-Grid roadmap.

Requirements

• At least 5 years of experience in DevOps, SRE, platform engineering, distributed systems, cloud infrastructure, or comparable software and systems engineering roles.
• Deep practical expertise in Kubernetes architecture and operations, including control planes, scheduling, controllers, operators, CRDs, admission controllers, APIs, networking, storage, security, and multi-tenancy.
• Experience building or integrating workload schedulers, resource managers, or orchestration systems such as Kubernetes Scheduler Framework, Kueue, KAI, Volcano, YuniKorn, Slurm, Slinky, Run:ai, or proprietary systems.
• Strong Go programming skills and Python proficiency for automation, integration, tooling, and performance analysis.
• Experience with GPU-accelerated AI/ML workloads, distributed training, inference, benchmarking, GPU allocation, topology-aware placement, NVLink, NVSwitch, RDMA, RoCEv2, NUMA, and high-performance networking.
• Experience with observability, CI/CD, GitOps, infrastructure as code, cloud-native security, troubleshooting, production reliability, and incident response.

Culture & Benefits

• Work with founders and specialists in AI infrastructure, energy systems, and next-generation compute.
• Founder-led environment with accessible leadership, fast decisions, and limited bureaucracy.
• Opportunity to contribute to sustainable AI Factories designed to operate as assets to the energy grid.
• Permanent full-time employment.
• Support for growth into new technical domains and broader responsibilities.