Senior AI Platform Engineer (AI)

TL;DR

Senior AI Platform Engineer (Kubernetes/GPU): Operating and hardening Kubernetes-based MaaS production environments for AI cloud services with an accent on GPU health, capacity planning, and rollout safety. Focus on automating repetitive operations using GitOps tools and ensuring high availability of the AI platform.

Location: Singapore, Penang, or Taiwan

Company

World-leading technology company specializing in Bitcoin mining and AI cloud services.

What you will do

• Operate and harden K8s MaaS production environments across CPU and GPU tiers.
• Define and manage SLOs, alerting, and incident response for API availability and GPU health.
• Implement safe rollout strategies for platform changes using canaries and health-aware routing.
• Plan capacity for GPU utilization, burst traffic, and cross-region latency.
• Automate operations via Helm, Argo CD, and self-healing workflows.
• Collaborate with runtime engineers to debug incidents from the edge to model workers.

Requirements

• 6+ years of experience in SRE, platform, or infrastructure engineering for production cloud services.
• Expertise in Kubernetes, including Helm, Argo CD/GitOps, CNI, and workload scheduling.
• Proficiency in Go, Python, Bash, and Linux networking.
• Strong observability skills with Prometheus/VictoriaMetrics and OpenTelemetry.
• Proven ability to design reliable systems with clear SLOs and operational ownership.

Nice to have

• Hands-on experience operating GPU, AI infrastructure, or HPC workloads.

Culture & Benefits

• Inclusive environment with an exciting startup spirit and diversity of thought.
• Opportunity to network with industry pioneers in the digital asset industry.
• High level of personal accountability, autonomy, and fast growth.
• Access to training, mentoring, and attractive welfare benefits.